Jiajia Zhangfor Semiparametric Cure Model With Interval Censored Data, Computational Statistics and...

Jiajia Zhang

Personal Information

Phone: 803-777-4474

Email: [email protected]

Current Address: Department of Epidemiology and Biostatistics

915 Greene Street, University of South Carolina

Columbia, SC, 29208, USA

Education

• Memorial University — St. John’s, NL, Canada

Ph.D. in Biostatistics Sep 2003–Oct 2007

• East China Normal University (ECNU) — Shanghai, China

M.Sc in Statistics Sep 2000–Sep 2003

• East China Normal University — Shanghai, China

B. Sc in Applied Mathematics Sep 1996–Sep 2000

Professional Experience

• Chief of the Biostatistics Division Aug 2019–

Department of Epidemiology and Biostatistics, University of South Carolina, USA

• Professor Jan 2019–


• Faculty Affiliate 2016–

South Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina

• Tenured Associate Professor May 2013– Dec 2018


• Assistant Professor Aug 2007– May 2013


• Research and Teaching Assistant Sep 2003–Jun 2007

Department of Mathematics and Statistics, Memorial University, Canada

• Lecturer Jan–Apr 2006

Department of Mathematics and Statistics, Memorial University, Canada

• Professional Development Facilitator Sep–Dec 2006; Sep–Dec 2005

Instructional Development Office, Memorial University, Canada

Curriculum Vitae Jiajia Zhang

• Research and Teaching Assistant Sep 2000–Jul 2003

Department of Statistics, East China Normal University, Shanghai, China

Honours and Awards

• Fellow of the School of Graduate Studies, Memorial University, 2007.

• Atreya-Haritha Scholarship in Mathematics, Memorial University, 2006–2007.

• Graduate Fellowship, Memorial University, 2003–2007.

• Student Travel Award, Statistical Society of Canada, Jun, 2005

• Fellow of Excellent Graduate Studies, East China Normal University, 2003.

• Excellent Graduate Student Scholarship, East China Normal University, 2001.

• Excellent Graduate Fellow, East China Normal University, 2001.

• Undergraduate Scholarship, East China Normal University, 1996–1999.

Major Research Interests

• Mixture Cure Models • Spatial Survival Models

• Frailty Models • Sample Size Calculation

• Semiparametric Estimation Methods • Precision Medicine

• Joint Modelling • Competing Risk Model

Publications in Refereed Journals

(* indicates students/visitors under supervision, **indicates students, who I serve on their thesis/

dissertation committee)

Methodologies

1. Jie Zhou*, Jiajia Zhang, Wenbin Lu, and Xiaoming Li, Optimal Treatment Regimes under

Competing Risks with an Application to HIV Drugs, Biostatistics.

2. Jie Zhou*, Jiajia Zhang, Alexander C. Mclain, Wenbin Lu, Xuemei Sui, James W. Hardin,

A Varying-Coefficient Generalized Odds Rate Model with Time-Varying Exposure: An Appli-

cation to Fitness and CVD Mortality, Biometrics.

3. Junying Zhang*, Jiajia Zhang, Riquan Zhang, and Hang Wang, Sequential Feature Screening

For Generalize Linear Models With Sparse Ultra-High Dimensional Data, Journal of Systems

Science and Complexity.

2


4. Jiajia Zhang, Timothy Hanson and Haiming Zhou**, Bayes Factors for Choosing among Six

Common Survival Models, Lifetime Data Analysis, 25(2):361-37, 2019.

5. Yihong Zhan*, Yanan Zhang*, Jiajia Zhang, Bo Cai, James W Hardin, Sample Size Calcu-

lation for a Proportional Hazards Mixture Cure Model with Nonbinary Covariates, Journal of

Applied Statistics, 46(3), 468-483, 2019.

6. Georgiana Onicescu**, Andrew B. Lawson, Jiajia Zhang, Mulugeta Gebregziabher, Kristin

Wallace, Jan M. Eberth, Spatially-explicit Survival Modeling with Discrete Grouping of Cancer

Predictors, Spatial and Spatio-temporal Epidemiology, 29, 139-148, 2019.

7. Yijun Wang, Jiajia Zhang, Yincai Tang, Semiparametric Estimation for Accelerated Fail-

ure Time Mixture Cure Model Allowing Non-curable Competing Risk, Statistical Theory and

Related Fields, 1-12, 2019.

8. Jiajia Zhang, Wenbin Lu and Jie Zhou, Mixed Cure Rate Model, Wiley StatsRef-Statistics

Reference Online, 2018.

9. Roy Bower**, James Hussey, Jiajia Zhang, Joe Quattro, Barbara Muhling, William Cipolli,

and James W. Hardin, The Score Test for Independence of Two Marginal Poisson Variables,

Communication in Statistics-Case Studies and Data Analysis, 4, 2018.

10. Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, Jiajia Zhang, Robust Estimation for Longitudinal

Data with Covariate Measurement Errors and Outliers, Journal of Multivariate Analysis, 168,

261–275, 2018.

11. Roy Bower**, James Hussey, Jiajia Zhang, Joe Quattro, Will Cipolli and James Hardin, A

Copula Approach for Testing Independence Between Poisson Distribution Variables, Commu-

nication in Statistics-Case Studies and Data Analysis, 4(1), 2018.

12. Haiming Zhou**, Timothy Hanson and Jiajia Zhang, spBayesSurv: Fitting Bayesian Spatial

Survival Models Using R, Journal of Statistical Software, Accept Minor.

13. Suhyun Kang, Wenbin Lu, Jiajia Zhang, On Estimation of the Optimal Treatment Regime

With The Additive Hazards Model, Statistica Sinica,28(3), 1539–1560, 2018.

14. Yuhui Chen, Jiajia Zhang and Yangyang Xu, Adaptive Lasso for Accelerated Hazards Models,

Journal of Statistical Computation and Simulation, 88(15), 2948–2960, 2018.

15. Huiming Lin, Guoyou Qin, Jiajia Zhang and Zhongyi Zhu, Analysis of Longitudinal Data

with Covariate Measurement Error and Missing Responses: An Improved Unbiased Estimating

Equation, Computational Statistics and Data Analysis, 121, 102–112, 2018.

3


16. Xueying Zheng, Bo Fu, Jiajia Zhang and Guoyou Qin, Variable Selection for Longitudinal

Data with High-dimensional Covariates and Dropouts, Journal of Statistical Computation and

Simulation , 88, 712–725, 2018.

17. Jie Zhou*, Jiajia Zhang, Wenbin Lu, Computationally Efficient Estimation for the General-

ized Odds Rate Mixture Cure Model with Interval Censored Data, Journal of Computational

and Graphical Statistics, 27(1), 48-58, 2018.

18. Huiming Lin, Guoyou Qin, Jiajia Zhang and Wing K. Fung, Doubly Robust Estimation

of Partially Linear Models for Longitudinal Data with Dropouts and Measurement Error in

Covariates, Statistics, 52, 84–94, 2018.


Wallace, Jan M. Eberth, Spatially-explicit Survival Modeling with Discrete Grouping of Cancer

Predictors, Journal of Applied Statistics, 45, 568–585, 2018.

20. Junying Zhang*, Riquan Zhang and Jiajia Zhang, Feature Screening for Nonparametric and

Semiparametric models with Ultrahigh-Dimensional Covariates, Journal of Systems Science

and Complexity, 31(5), 1350–1361, 2018.

21. Wenli Deng*, Ouyang Fei, Jiajia Zhang, Semiparametric Estimation Method for Accelerated

Failure Time Model with Dependent Censoring, Communications in Statistics–Simulation and

Computation, 46(9), 6947-6958, 2017.

22. Zhongkai Liu, Rui Song, Dongling Zeng, Jiajia Zhang, Principal Components Adjusted Vari-

able Screening, Computational Statistics and Data Analysis, 110, 134-144, 2017.

23. Haiming Zhou**, Timothy Hanson, Jiajia Zhang, Generalized Accelerated Failure Time Spa-

tial Frailty Model For Arbitrarily Censored Data, Lifetime Data analysis, 23(3), 495-515, 2017.

24. Jie Zhou*, Jiajia Zhang, Wenbin Lu, EM Algorithm for Generalized Odds-Rate Models with

Interval Censored Data, Statistics in Medicine, 36(7), 1157-1171, 2017.

25. Ji Luo*, Haifen Li*, Jiajia Zhang, Robust Smoothed Rank Estimation Methods For Accel-

erated Failure Time Model Allowing Clusters, Communication in Statistics: Simulation and

Computation, 45(6), 1865-1884, 2016.

26. Guoyou Qin, Jiajia Zhang, Zhongyi Zhu, Simultaneous Mean and Covariance Estimation of

Partially Linear Models for Longitudinal Data with Missing Responses and Covaraite Measure-

ment Errors, Computational Statistics and Data Analysis, 96, 24-39, 2016.

4


27. Guoyou Qin, Jiajia Zhang, Zhongyi Zhu, Quantile Regression in Longitudinal Studies with

Dropouts and Measurement Errors, Journal of Statistical Computation and Simulation, 86

(17), 3527-3542, 2016.

28. Guoyou Qin, Jiajia Zhang, Zhongyi Zhu and Wing Fung, Robust Estimation of Partially

Linear Models for Longitudinal Data with Dropouts and Measurement error, Statistics in

Medicine, 35(29), 5401-5416, 2016.

29. Songfeng Wang*, Jiajia Zhang and Andrew Lawson, A Bayesian Normal Mixture Accelerated

Failure Time Spatial Model and its Application to Prostate Cancer, Statistical Methods in

Medical Research, 25(2), 793-806, 2016.

30. Jie Zhou*, Jiajia Zhang, Alexander McLain and Bo Cai, A Multiple Imputation Approach

for Semiparametric Cure Model With Interval Censored Data, Computational Statistics and

Data Analysis, 99, 105-114, 2016.

31. Li Li**, Timothy Hanson, and Jiajia Zhang, Spatial Extended Hazard Model with Application

to Prostate Cancer Survival, Biometrics 71(2), 313-322, 2015.


Wallace, Jan M. Eberth, Bayesian Accelerated Failure Time Model for Space-Time Dependency

in a Geographically Augmented Survival Model, Statistical Methods in Medical Research, July

28, 2015.

33. Haiming Zhou**, Timothy Hanson, Alejandro Jara, and Jiajia Zhang, Modelling county level

breast cancer survival data using a covariate-adjusted frailty PH model, Annals of Applied

Statistics, 9(1), 43-68, 2015.

34. Matthew Avery, Yichao Wu, Helen Zhang, Jiajia Zhang, RKHS-Based Functional Nonlinear

Regression for Sparse and Irregular Longitudinal Data, Canadian Journal of Statistics, 42,

204-216, 2014.

35. Chao Cai*, Songfeng Wang*, Wenbin Lu and Jiajia Zhang, An R-package of Sample Size

Calculation for the Mixture Cure Models, Computer Methods and Programs in Biomedicine,

113(1), 290-300, 2014.

36. Yuhui Chen**, Timothy E. Hanson and Jiajia Zhang, Accelerated Hazards Model based on

Transformed Bernstein Polynomial Prior, Biometrics, 70(1), 192-201, 2014.

37. Andrew Lawson, Jungsoon Choi, Jiajia Zhang, Prior Choice in Discrete Latent Modeling

of Spatially-referenced Cancer Survival, Statistical Methods in Medical Research, 23(2), 183-

200,2014.

5


38. Haifen Li*, Jiajia Zhang and Yincai Tang, Smooth Semi-nonparametric Analysis for Mixture

Cure Models, Australian & New Zealand Journal of Statistics, 56(3), 217-235, 2014.

39. Bo Liu, Wenbin Lu and Jiajia Zhang, Accelerated Failure Time Intensity Frailty Model for

Recurrent Events Data, Biometrics, 70, 579-587,2014.

40. Ji Luo*, Jiajia Zhang and Han Sun*, Estimation of Relative Risk Using a Log-binomial Model

with Constraints, Computational Statistics, 29, 981-1003, 2014.

41. Hongbin Qiu, Ji Luo* and Jiajia Zhang, Robustness of F -Tests in Singular Linear Models,

Acta Mathematica Sinica, English Series, 30(5), 872-880, 2014.

42. Songfeng Wang*, Jiajia Zhang and Wenbin Lu, Sample Size Calculation for Proportional

Hazards Model with Time Dependent Variable, Computational Statistic and Data Analysis,

74, 217-227, 2014.

43. Haibing Zhao and Jiajia Zhang, Weighted P-value Procedures for Controlling FDR of Grouped

Hypotheses, Journal of Statistical Planning and Inference, 151, 90-106, 2014.

44. Jiajia Zhang, Wenqing He and Haifen Li*, A Semiparametric Approach for Accelerated Fail-

ure Time Models with Covariates Subject to Measurement Error, Communication in Statistics-

Simulation and Computation, 43, 329-341, 2014.

45. Pengcheng Chen*, Jiajia Zhang and Riquan Zhang, Estimation of Accelerated Failure Time

Frailty Model under Generalized Gamma Frailty, Computational Statistics and Data Analysis,

62, 171-180, 2013.

46. Bo Liu, Wenbin Lu and Jiajia Zhang, Kernel Smoothed Profile Likelihood Estimation in AFT

Frailty Model for Clustered Survival Data, Biometrika, 100(3), 741-755, 2013.

47. Jiajia Zhang, Yingwei Peng and Haifen Li*, A New Semiparametric Estimation Method for

Accelerated Hazards Mixture Cure Model, Computational Statistics and Data Analysis, 59,

95-102, 2013.

48. Chao Cai*, Yubo Zou*, Yingwei Peng and Jiajia Zhang, smcure: An R-package for Estimating

Semiparametric Mixture Cure Models, Computer Methods and Programs in Biomedicine, 108,

1255-1260, 2012.

49. Haifen Li*, Jiajia Zhang and Yincai Tang, Induced Smoothing for the Semiparametric Accel-

erated Hazards Model, Computational Statistics and Data Analysis, 56(12), 4312-4319, 2012.

50. Songfeng Wang*, Jiajia Zhang and Wenbin Lu, Sample Size Calculation for the Proportional

Hazards Cure Model, Statistics in Medicine, 31(29), 3959-3971, 2012.

6


51. Jiajia Zhang and Yingwei Peng, Semiparametric Estimation Methods for the Accelerated

Failure Time Mixture Cure Model, Journal of the Korean Statistical Society, 41(3), 415-422,

2012.

52. Jiajia Zhang, Yingwei Peng and Ou Zhao, A New Semiparametric Estimation Method for

Accelerated Hazard Model, Biometrics, 67, 1352-1360, 2011.

53. Jiajia Zhang and Andrew Lawson, Accelerated Failure Time Spatial Model and its Applica-

tion to Prostate Cancer, Journal of Applied Statistics, 38(3), 591-603, 2011.

54. Yubo Zou*, Jiajia Zhang and Guoyou Qin, A Semiparametric Accelerated Failure Time

Partial Linear Model and its Application to Breast Cancer, Computational Statistics and Data

Analysis, 55(3), 1479-1487, 2011.

55. Matteo Bottai and Jiajia Zhang, Quantile Regression with Censored Data via Asymmetric

Laplace Distribution, Biometrical Journal, 52(4), 487-503, 2010.

56. Linzhi Xu* and Jiajia Zhang, Multiple Imputation Method for the Accelerated Failure Time

Mixture Cure Model, Computational Statistics and Data Analysis, 54(7), 1808-1816, 2010.

57. Linzhi Xu* and Jiajia Zhang, An EM-Like Algorithm for the Semiparametric Accelerated

Failure Time Gamma Frailty Model, Computational Statistics and Data Analysis, 54(6), 1467-

1474, 2010.

58. Linzhi Xu* and Jiajia Zhang, An Alternative Estimation for the Accelerated Failure Time

Mixture Cure Model, Communication in Statistics: Simulation and Computation, 38(9), 1980-

1990, 2009.

59. Jiajia Zhang and Yingwei Peng, Accelerated Hazards Mixture Cure Model, Lifetime Data

Analysis, 15(4), 455-467, 2009.

60. Jiajia Zhang and Yingwei Peng, Crossing Hazard Functions in Common Survival Models,

Statistics and Probability Letters, 79, 2124-2130, 2009.

61. Yingwei Peng and Jiajia Zhang, Identifiability of the Mixture Cure Frailty Model, Statistics

and Probability Letters, 78, 2604-2608, 2008.

62. Yingwei Peng and Jiajia Zhang, Estimation Method of the Semiparametric Mixture Cure

Gamma Frailty Model, Statistics in Medicine, 27 (25), 5177-5194, 2008.

63. Jiajia Zhang and Yingwei Peng, A New Estimation Method for the Semiparametric Acceler-

ated Failure Time Mixture Cure Model, Statistics in Medicine, 26(16), 3157-3171, 2007.

7


64. Jiajia Zhang and Yingwei Peng, An Alternative Estimation Method for the Accelerated

Failure Time Frailty Model, Computational Statistics and Data Analysis, 51(9), 4413-4423,

2007.

Applied Statistics

65. Zihang Zhong*, Qi Jin*, Jiajia Zhang, Yong-Moon Park, Deepika Shrestha, Jianling Bai,

Anwar T. Merchant, Periodontal Antibodies and All-Cause, Cardiovascular Disease Mortality,

Accepted by Journal of Dental Research.

66. Lingfei Liu, Huaiting Gu, Fang Hou, Xinyan Xie, Xin Li, Bing Zhu, Jiajia Zhang, Wenhua

Wei, Ranran Song, Dyslexia associated functional variants in Europeans are not associated

with dyslexia in Chinese, Neuropsychiatric Genetics, 2019.

67. Bankole Olatosi, Jiajia Zhang, Sharon Weissman, Jianjun Hu, Diansheng Guo, Mohammad

Rifat Haider and Xiaoming Li, Using Big Data Analytics to improve HIV medical care utiliza-

tion in South Carolina: A Study Protocol, BMJ Open, 2019.

68. Xin Li, Xiaoming Luo, Ruimin Zheng, Xi Jin, Lili Mei, Xinyan Xie, Huaiting Gu, Fang Hou,

Lngfei Liu, Xiu Luo, Heng Meng, Jiajia Zhang and Ranran Song, The role of depressive

symptoms, anxiety symptoms, and school functioning in the association between peer victim-

ization and internet addiction: A moderated mediation model, Journal of Affective Disorders,

256, 125-131, 2019.

69. Jin Qi*, Zhong Zihang*, Jiajia Zhang, Yong-Moon Park, Deepika Shrestha, Bai Jianling,

Anwar T. Merchant, Serum IgG Antibodies against Periodontal Microbes and Cancer Mortality,

JDR Clinical & Translational Research.

70. K. Alexa Orr Gandy, Jiajia Zhang Prakash Nagarkatti1 and Mitzi Nagarkatti, Resveratrol (3,

5, 4’-trihydroxy-trans-stilbene) attenuates a mouse model of multiple sclerosis by altering the

miR-124/Sphingosine Kinase 1 axis in encephalitogenic T cells in the brain, J Neuroimmune

Pharmacol, 2019.

71. K. Alexa Orr Gandy, Jiajia Zhang, Prakash Nagarkatti1 and Mitzi Nagarkatti, The role of gut

microbiota in shaping the relapse-remitting and chronic-progressive forms of multiple sclerosis

in mouse models, Scientific Reports, 9(1):6923, 2019.

72. Jiali Zheng, Fred K. Tabung, Jiajia Zhang, E. Angela Murphy, Nitin Shivappa, Judith K.

Ockene, Bette Caan, Candyce H. Kroenke, James R. Hebert, Susan E. Steck,Post-cancer diag-

nosis dietary inflammatory potential is associated with survival among women diagnosed with

colorectal cancer in the Women’s Health Initiative, European Journal of Nutrition.

8


73. Ying Wang, Shujie Chen, Carl J. Lavie, Jiajia Zhang, Xuemei Sui, An overview of non-exercise

cardiorespiratory fitness: estimation equations, cross-validation and application, JSSE.

74. Sayward E. Harrison, Xiaoming Li, JiaJia Zhang, Junfeng Zhao, and Guoxiang Zhao. A cluster

randomized controlled trial to evaluate a resilience-based intervention for caregivers of HIV-

affected children in China. AIDS.

75. Daria M. McMahon, James B. Burcha, James R. Heberta, James W. Hardin, Jiajia Zhang,

Michael D. Wirth, Shawn D. Youngstedte, Nitin Shivappaa, Steven J. Jacobseng, Bette Caanh,

Stephen K. Van Den Eedenh, Diet-Related Inflammation and Risk of Prostate Cancer in the

California Men’s Health Study, Annals of Epidemiology, 29, 30-38, 2019.

76. Fang Hou, Ling Qi, Lingfei Liu, Xiu Luo, Huaiting Gu, Xinyan Xie, Xin Li, Jiajia Zhang,

Ranran Song, Validity and Reliability of Dyslexia Checklist for Chinese Children, Frontiers in

Psychology, V9, 1915, 2018.

77. Paige Anderson, Yong-Moon Park, Deepika Shrestha, Jiajia Zhang, Jihong Liu, Anwar T

Merchant, Cross-sectional association of physical activity and periodontal antibodies, Journal

of Periodontology, 89(12), 1400-1406, 2018.

78. Fang Hou, Li Li, Jianhua Gong, Yanlin Chen, Jia Wang, Lingfei Liu, Xiu Luo, Huaiting Gu, Ji-

ajia Zhang, Ranran Song, Association Analysis of two Synapse-Related Genes Mutations with

Autism Spectrum Disorder in a Chinese Population, Research in Autism Spectrum Disorders,

53, 67–72, 2018.

79. Xiu Luo, Lingfei Liu, Huaiting Gu, Fang Hou, Xinyan Xie, Xin Li, Heng Meng, Jiajia Zhang,

Shunqing Xu, Ranran Song, Pathways Linking Socio-economic Status to Small-for-Gestational

Age (SGA) Infants among Primiparae: A Birth Cohort Study in China, BMJ Open, 8(6),

e020694, doi: 10.1136/bmjopen-2017-020694, 2018.

80. Sayward Harrison, Xiaoming Li, JiaJia Zhang, Junfeng Zhao and Guoxiang Zhao, A Ran-

domized Controlled Trial of a Resilience-based Intervention for Children affected by Parental

HIV: Educational Outcomes at 24-, 30-, and 36-months, School Psychology International, 39(2),

170–195, 2018.

81. Jiali Zheng**, Anwar T. Merchant, Michael D. Wirth, Jiajia Zhang, Samuel O. Antwi, Azza

Shoaibi, Nitin Shivappa, Rachael Z. Stolzenberg-Solomon, James R. Hebert, Susan E Steck,

Inflammatory potential of diet and risk of pancreatic cancer in the Prostate, Lung, Colorectal

and Ovarian (PLCO) Cancer Screening Trial, International Journal of Cancer, 142(12), 2461-

2470. 2018.

9


82. Ying Wang*, Shujie Chen*, Jiajia Zhang, Yanan Zhang, Linda Ernstsen, Carl Lavie, Steven

P. Hooker, Yuhui Chen, Xuemei Sui, Non-Exercise Estimated Cardiorespiratory Fitness and

All-Cancer Mortality: the NHANES III Study, Mayo Clinic Proceedings, 93(7), 848–856, 2018.

83. Peter Kokkinos, Leonard A. Kaminsky, Ross Arena, Jiajia Zhang, Jonathan Myers, A New

Generalized Cycle Ergometry Equation for Predicting Maximal Oxygen Uptake: The Fitness

Registry and the Importance of Exercise National Database (FRIEND), European Journal of

Preventive Cardiology, 25(10), 1077–1082, 2018.

84. Jiali Zheng**, Fred K. Tabung, Jiajia Zhang, Angela D. Liese, Nitin Shivappa, Judith K.

Ockene, Bette J. Caan, Candyce H. Kroenke, James R. Hebert, and Susan E Steck, Association

between post-cancer diagnosis dietary inflammatory potential and mortality among invasive

breast cancer survivors in the Women’s Health Initiative, Cancer Epidemiology, Biomarkers &

Prevention, 1158, 1055–996, 2018.

85. Marpe Bam, Xiaoming Yang, Souvik Sen, Elizabeth Zumbrun, Lauren Dennis, Jiajia Zhang,

Prakash Nagarkatti, Mitzi Nagarkatti, Characterization of Dysregulated miRNA in Peripheral

Blood Mononuclear Cells from Ischemic Stroke Patient, Molecular Neurobiology, 55(2), 1419-

1429, 2018.

86. Marpe Bam, Xiaoming Yang, Elizabeth Zumbrun, JP (Jack) Ginsberg, Quinne Leyden, Jia-

jia Zhang, Mitzi Nagarkatti, Prakash Nagarkatti, Decreased Ago2 and Dcr1 in Pbmcs from

War Veterans with PTSD Leads to Diminished miRNA Resulting in Elevated Inflammation,

Translational Psychiatry, 7(8), e1222, 2017.

87. Huaiting Gu, Lixia Wang, Lingfei Liu, Xiu Luo, Jia Wang, Fang Hou, Pauline Denis Nkomola,

Jing Li, Genyi Liu, Heng Meng, Jiajia Zhang, Ranran Song, A gradient relationship between

low birth weight and IQ: A meta-analysis, Scientific Report, 7 (18035), 2017.

88. Sayward Harrison, Xiaoming Li, JiaJia Zhang, Junfeng Zhao, Guoxiang Zhao, Improving

School Outcomes for Children affected by HIV/AIDS: Evaluation of the ChildCARe Interven-

tion at 6-, 12-, and 18-months, School Psychology International, 38(3) 264–286, 2017.

89. Huacheng He, Eleni Markoutsa, Yihong Zhan*, Jiajia Zhang, Peisheng Xu, Mussel-Inspired

PLGA/polydopamine Core-shell Nanoparticle for Light Induced Cancer Thermochemotherapy,

Acta Biomaterialia, 59(1), 181-191, 2017.

90. Leepao Khang**, Swann Arp Adams, Susan E Steck, Jiajia Zhang, Sudha Xirasagar, Virginie

G Daguise, Travel Distance to Screening Facilities and Completion of Abnormal Mammographic

Follow-Up among Disadvantaged Women, Annals of Epidemiology, 27(1), 35-41, 2017.

10


91. Peter Kokkinos, Leonard Kaminsky , Ross Arena, Jiajia Zhang, Jonathan Myers, New Gen-

eralized Equation for Predicting Maximal Oxygen Uptake: The FRIEND Registry, American

Journal of Cardiology, 120(4), 688-692, 2017.

92. Peter Kokkinos, Charles Faselis, Puneet Narayan, Jonathan Myers, Eric Nylen, Xuemei Sui,

Jiajia Zhang, Chip Lavie, Cardiorespiratory Fitness and Incidence of Type 2 Diabetes in US

Veterans on Statin Therapy, The American Journal of Medicine, 130(10), 1192-1198, 2017.

93. Peter Kokkinos, Charles Faselis, Jonathan Myers, Puneet Narayan, Xuemei Sui, Jiajia Zhang,

Carl J. Lavie, Hans Moore, Pamela Karasik, Ross Fletcher, Cardiorespiratory Fitness and

Incidence of Major Adverse Cardiovascular Events in Veterans: A Cohort Study, Mayo Clinic

Proceedings, 92(1), 39-48, 2017.

94. Yong-Moon Mark Park**, Susan E. Steck, Teresa T. Fung, Jiajia Zhang, Linda J. Hazlett,

Kyungdo Han, Seung-Hwan Lee, Hyuk-Sang Kwon, Anwar T. Merchant, Mediterranean Diet,

Dietary Approaches to Stop Hypertension (DASH) Style Diet, and Metabolic Health in U.S.

Adults, Clinical Nutrition, 36(5), 1301-1309, 2017.

95. Yong-Moon Park**, Jiajia Zhang, Susan Steck, Teresa Fung, Linda Hazlett, Kyungdo Han,

Seung-Hyun Ko, Anwar Merchant, Obesity Mediates the Association between Mediterranean

Diet Consumption and Insulin Resistance and Inflammation in U.S. Adults, Journal of Nutri-

tion, 147(4), 563-571, 2017.

96. Marsha Samson**, Swann Adams, Caroline Mulatya, Jiajia Zhang, Charles Bennett, James

Hebert, Susan Steck, Types of Oral Contraceptives and Breast Cancer survival in the Medicaid

cohort study: A Competing Risk Model, Maturitas 95, 42-49, 2017.

97. Xuemei Sui, Mark Sarzynski, Duck-chul Lee, Carl Lavie, Jiajia Zhang, Peter Kokkinos,

Jonathan Payne, Steven Blair, Longitudinal Patterns of Cardiorespiratory Fitness can Predict

the Development of Hypertension among Men and Women, American Journal of Medicine,

130(4), 469-476, 2017.

98. Xuemei Sui, John Ott, Katie Becofsky, Carl Lavie, Linda Ernstsen, Jiajia Zhang, Steven

Blair, Cardiorespiratory Fitness and All-cause Mortality in Men with Emotional Distress, Mayo

Clinic Proceedings, 92(6), 918-924, 2017.

99. Fred Tabung**, Susan Steck, Yunsheng Ma, Angela Liese, Jiajia Zhang, Dorothy Lane, Gloria

Ho, Lifang Hou, Linda Snetselaar, Judith Ockene, James Hebert, Changes in the Inflamma-

tory Potential of Diet over Time and Risk of Colorectal Cancer in Postmenopausal Women,

American Journal of Epidemiology, 186 (5), 514-523, 2017.

11


100. Jia Wang, Jianhua Gong, Li Li, Yanlin Chen, Lingfei Liu, Huaiting Gu, xiu Luo, Fang Hou,

Jiajia Zhang, Ranran Song, Neurexin Gene Family Variants as a Risk for Autism Spectrum

Disorder, Autism Research, online Oct, 2017.

101. Yanan Zhang*, Jiajia Zhang, Jie Zhou*, Linda Ernstsen, Carl J. Lavie, Steven Hooker, Xue-

mei Sui, Non-Exercise Estimated Cardiorespiratory Fitness and Mortality Due to All Causes

and Cardiovascular Disease: The NHANES III Study, Mayo Clinic Proceedings: Innovations,

Quality & Outcomesf, 1(1), 16-25, 2017.

102. Jiali Zheng**, Mark Guinter, Anwar Merchant, Michael Wirth, Jiajia Zhang, Rachael Stolzenberg-

Solomon, Susan Steck, Dietary Patterns and Risk of Pancreatic Cancer: A Systematic Review,

Nutrition Reviews, 75(11), 883–908, 2017.

103. Jianzhong Zhang, Jinshan Liu,S.-H. Zhang,Shaoyan Huang,Jiajia Zhang, Jie Zhou,Juhua

Zhou, Distinctive Effect Of 6% Hydroxyethyl Starch 130/0.4 (Voluven) Infusion On Chinese

Pediatric Patients With Congenital Heart Disease, European Review for Medical and Pharma-

cological Sciences, 21, 1384-1396, 2017.

104. Marpe Bam, Xiaoming Yang, Elizabeth Zumbrun, Yin Zhong, Juhua Zhou, Jay Ginsberg,

Quinne Leyden, Jiajia Zhang, Prakash Nagarkatti, Mitzi Nagarkatti, Dysregulated Immune

System Networks in War Veterans with PTSD is an Outcome of Altered miRNA Expression

and DNA Methylation, Scientific Report, 2016.

105. Bei Cheng, Huacheng He, Tao Huang, Stuart Berr, Jiang He, Jiajia Zhang, and Peisheng Xu,

Gold Nanosphere Gated Mesoporous Silica Nanoparticle Responsive to NIR Light and Redox

Potential as a Theranostic Platform for Cancer Therapy, Journal of Biomedical Nanotechnology,

12, 435-449, 2016.

106. Rui Kong, Shanshan Shao, Jia Wang, Xiaohui Zhang, Shengnan Guo, Li Zou, Rong Zhong,

Jiao Lou, Jie Zhou, Jiajia Zhang, Ranran Song, Genetic variant in DIP2A gene is associated

with developmental dyslexia in Chinese population, American Journal of Medical Genetics B:

Neuropsychiatric Genetics, 171(2), 203-208, 2016.

107. Anwar Merchant, Georges Nahhas**, Paul Wadwa, Jiajia Zhang, Yifan Tang, Lonnie John-

son, David Maahs, Franziska Bishop, Ricardo Teles. Elaine Morrato, Periodontal Microor-

ganisms and Cardiovascular Risk Markers in Youth with Type 1 Diabetes and No Diabetes,

Journal of Periodontology, 87(4), 476-384, 2016.

108. Yong-Moon Mark Park**, Susan Steck, Fred Tabung**, Jiajia Zhang, Linda Kyungdo Han,

Anwar Merchant, Mediterranean Diet and Mortality Risk in Metabolically Healthy Obese and

12


Metabolically Unhealthy Obese Phenotypes, International Journal of Obesity, 40(10), 1541-

1549, 2016.

109. Yong-Moon Mark Park**, Teresa Fung, Susan Steck, Jiajia Zhang, Linda Hazlett, Kyungdo

Han, Seung-Hwan Lee, Anwar Merchant, Diet Quality and Mortality Risk in Metabolically

Obese Normal Weight Adults, Mayo Clinic Proceedings, 91(10), 1372-1383, 2016.

110. Marsha Samson**, Swann Adams, Anwar Merchant, Whitney Maxwell, Jiajia Zhang, Charles

Bennett, James Hebert, Cardiovascular Disease Incidence among Females in South Carolina

by Type of Oral Contraceptives, 2000–2013: A Retrospective Cohort Study, Archives of Gy-

necology and Obstetrics, 294(5), 991-997, 2016.

111. Shanshan Shao, Rui Kong, Li Zou, Rong Zhong, Jiao Lou, Jie Zhou, Shengnan Guo, Jia Wang,

Xiaohui Zhang, Jiajia Zhang, Ranran Song, The Roles of Genes in the Neuronal Migration

and Neurite Outgrowth Network in Developmental Dyslexia: Single- and Multiple Risk-Genetic

Variants, Molecular Neurobiology, 53(6), 3967-3975, 2016.

112. Shanshan Shao, Yanfeng Niu, Xiaohui Zhang, Rui Kong, Jia Wang, Lingfei Liu, Xiu Luo,

Jiajia Zhang, and Ranran Song, Opposite Associations between Individual KIAA0319 Poly-

morphisms and Developmental Dyslexia Risk across Populations: A Stratified Meta-Analysis

by the Study Population, 6, article number 30454, Scientific Report, 2016.

113. Narendra Singh, Udai Singh, Michael Rouse, Jiajia Zhang, Saurabh Chatterjee, Prakash

Nagarkatti, Mitzi Nagarkatti, Dietary Indoles Suppress Delayed-Type Hypersensitivity by In-

ducing a Switch from Proinflammatory Th17 Cells to Anti-Inflammatory Regulatory T Cells

through Regulation of MicroRNA, The Journal of Immunology, Feb 1; 196(3), 1108-1122, 2016.

114. Fred Tabung**, Susan Steck, Angela Liese, Jiajia Zhang, Yunsheng Ma, Karen Johnson,

Dorothy Lane, Lihong Qi, Linda Snetselaar, Mara Vitolins, Judith Ockene,James Hebert, Pat-

terns of Change over Time and History of the Inflammatory Potential Of Diet And Risk Of

Breast Cancer Among Postmenopausal Women, Breast Cancer Research and Treatment, 159

(91), 139-149, 2016.

115. Fred Tabung**, Susan Steck, Angela Liese, Jiajia Zhang, Yunsheng Ma, Bette Caan, Rowan

Chelbowski, Jo Freudenheim, Lifang Hou, Yasmin Mossavar-Rahmani, Nitin Shivappa, Mara

Vitolins, Jean Wactawski-Wende, Judith Ockene, James Hebert, Association between Dietary

Inflammatory Potential and Breast Cancer Incidence and Death: Results from the Women’s

Health Initiative, British Journal of Cancer, 114(11), 1277-1285, 2016.

116. Fred Tabung**, Susan Steck, Jiajia Zhang, Yunshen Ma, Angela Liese, F Tylavsky, Mara

Vitolins, Judith Ockene, James Hebert, Longitudinal Changes in the Dietary Inflammatory

13


Index: An Assessment of the Inflammatory Potential of Diet Over Time in Postmenopausal

Women, European Journal of Clinical Nutrition, 70(12), 1374-1380, 2016.

117. Edith Williams, Kate Lorig, Saundra Glover, Diane Kamen, Sudie Back, Anwar Merchant, Ji-

ajia Zhang, and James C. Oates, Intervention to Improve Quality of life for African-AmericaN

Lupus Patients (IQAN): Study Protocol for a Randomized Controlled Trial of a Unique a La

Carte Intervention Approach to Self-Management of Lupus in African Americans, BMC Health

Services Research 16, no. 1 (2016), 339.

118. Edith Williams, Kasim Ortiz, Jiajia Zhang, Jie Zhou*, and Diane Kamen, The Systemic

Lupus Erythematosus Travel Burden Survey: Baseline Data among a South Carolina Cohort,

BMC Research Notes 9(1), November 2016.

119. Jiali Zheng**, Fred Tabung, Jiajia Zhang, Nitin Shivappa, Judith Ockene, Bette Caan, C

Kroenke, James Hebert, and Susan Steck, Association Between Post-Cancer Diagnosis Dietary

Inflammatory Potential and Survival in WHI Observational Study and Dietary Modification

Trial, Cancer Epidemiology Biomarkers & Prevention 25(3), 560-561, 2016

120. Samuel Antwi**, Susan Steck, Hongmei Zhang, Lareissa Stumm, Jiajia Zhang, Thomas Hur-

ley, James Hebert, Plasma Carotenoids and Tocopherols in Relation to Prostate-specific Anti-

gen (PSA) Levels Among Men with Biochemical Recurrence of Prostate Cancer, Cancer Epi-

demiology 39(5), 752-762, 2015.

121. Katie Becofsky, Xuemei Sui, Duck-chul Lee, Steven Blair, Jiajia Zhang, Sara Wilcox, A

Prospective Study of Fitness, Fatness, and Depressive Symptoms, American Journal of Epi-

demiology, 181(5), 311-320, 2015.

122. Peter Kokkinos, Charles Faselis, Jonathan Myers, Xuemei Sui, Jiajia Zhang, Apostolos Tsim-

ploulis, Lakhmir Chawla, Carlos Palant, Exercise Capacity and Risk of Chronic Kidney Disease

in US Veterans: A Cohort Study, Mayo Clinic Proceedings, 90(4), 461-468, 2015.

123. Narendra Singh, Ikbal Abbas, Martine Menard, Udai Singh, Jiajia Zhang, Praksh Nagarkatti,

Mitzi Nagarkatti, Exposure to Diethylstilbestrol During Pregnancy Modulates Micrornas Ex-

pression Profile in Mothers and Fetuses Reflecting Oncogenic and Immunological Changes,

Molecular Pharmacology, ASPET, 87(5), 842-854, 2015.

124. Deepika Shrestha**, Youn-Hee Choi, Jiajia Zhang, Linda Hazlett, Anwar Merchant, Rela-

tionship between Serological Markers of Periodontal Bacteria and Metabolic Syndrome and its

Components, Journal of Periodontology, 86(3), 418-430, 2015.

125. Fred Tabung**, Susan Steck, Jiajia Zhang, Yunshen Ma, Angela Liese, Ilir Agalliu, Melanie

Hingle, lifang Hou, Thomas Hurley, Li Jiao, Lisa Martin, Amy Millen, hannah Park, Milagros

14


Rosal, James Shikany, Nitin Shivappa, Judith Ockene, James Hebert, Construct Validation

of the Dietary Inflammatory Index among Postmenopausal Women, Annals of Epidemiology,

25(6), 398-405, 2015.

126. Fred Tabung**, Susan Steck, Yunsheng Ma, Angela Liese, Jiajia Zhang, Bette Caan, Lifang

Hou, Karen Johnson, Yasmin Mossavar-Rahmani, Nitin Shivappa, Jean Wactawski-Wende, Ju-

dith Ockene, James Hebert, The Association between Dietary Inflammatory Index and Risk of

Colorectal Cancer among Postmenopausal Women: Results from the Women’s Health Initia-

tive, Cancer Causes and Control, 26(3), 399-408, 2015

127. Edith Marie Williams, Jiajia Zhang, Judith Anderson, Larisa Bruner, and Laurene Tumiel-

Berhalter, Social support and self-reported stress levels in a predominantly African-American

sample of women with systemic lupus erythematosus, Autoimmune Diseases, 2015, Article ID

401620.

128. Juhua Zhou, Hina Chaudhry, Yin Zhong, Mir Mustafa Ali, Linda Perkins, William Owens,

Juan Morales, Franklin McGuire, Elizabeth Zumbrun, Jiajia Zhang, Prakash Nagarkatti,

Mitzi Nagarkatti, Dysregulation in microRNA Expression in Peripheral Blood Mononuclear

Cells of Sepsis Patients is Associated with Immunopathology, Cytokine, 71(1), 89-100, 2015.

129. Ibrahim Altamemi, Angela Murphy, James Catroppo, Elizabeth Zumbrun, Jiajia Zhang,

Jamie McClellan, Udai Singh, Prakash Nagarkatti, Mitzi Nagarkatti, Role of Micrornas in

Resveratrol-Mediated Mitigation of Colitis-Associated Tumorigenesis in Apcmin/+ Mice, The

Journal of Pharmacology and Experimental Therapeutics, 350(1), 99-109, 2014.

130. Zhen He, Shanshan Shao, Jie Zhou*, Juntao Ke, Rui Kong, Shengnan Guo, Jiajia Zhang,

Ranran Song, Does Long Time Spending on the Electronic Devices Affect the Reading Abilities?

A Cross-Sectional Study Among Chinese School-Aged Children, Research in Developmental

Disability, 35, 3645-3654, 2014.

131. Remant Bahadur K.C., Varun Chandrashekaran, Hexin Chen, Maria Marjorette O. Pena, Jia-

jia Zhang, and Peisheng Xu, Redox Potential Ultrasensitive Nanoparticle for Targeted Camp-

tothecin Delivery to HER2-Positive Cancer Cells, Molecular Pharmaceutics, 11(6), 1897-1905,

2014.

132. Peter Kokkinos, Jonathan Myers, Xuemei Sui, Jiajia Zhang, Steven Blair, Age-Specific Exer-

cise Capacity Threshold for Mortality Risk Assessment in Male Veterans, Circulation, 130(8),

653-658, 2014.

133. Peter Kokkinos, Charles Faselis, Jonathan Myers, Andreas Pittaras, Xuemei Sui, Jiajia Zhang,

Paul McAuley, John Peter Kokkinos, Cardiorespiratory Fitness and the Paradoxical BMI-

Mortality Risk Association in Male Veterans, Mayo Clinic Proceedings, 89(6), 754-762, 2014.

15


134. Anwar Merchant, Deepika Shrestha**, Candra Chaisson, Youn-Hee Choi, Linda Hazlett, Jiajia

Zhang, Association between Serum Antibodies to Oral Microorganisms and Hyperglycemia in

Adults, Journal of Dental Research, 93(8), 752-759, 2014.

135. Avnish Tripathi**, Angela Liese, Michael Winniford, Ali Rizvi, Jeanette Jerrell, Jiajia Zhang,

Wayne Duffus, Impact of Clinical and Therapeutic Factors On Incident Cardio-Cerebrovascular

Events in a Population-Based Cohort of HIV-Infected and Non-HIV-Infected Adults, Clinical

Cardiology, 37(9), 517-522, 2014.

136. Avnish Tripathi**, Angela Liese, Jeanette Jerrell, Jiajia Zhang, Ali Rizvi, Helmut Albrecht,

Wayne Duffus, Incidence of Diabetes Mellitus in a Population-Based Cohort of HIV-Infected

and Non-Hiv-Infected Persons: The Impact of Clinical and Therapeutic Factors over Time

(1994-2011), Diabetes Medicine, 31(10), 1185-1193, 2014.

137. Edith Williams, Jiajia Zhang, Jie Zhou*, Diane Kamen, James Oates, Predictors of non-

response and non-compliance in African American lupus patients: Findings from the Balancing

Lupus Experiences with Stress Strategies (BLESS) Study, International Journal of Medical and

Biomedical Sciences, 2(1), 6-19, 2014.

138. Xiaoming Yang, Venkatesh Hegde, Roshni Rao, Jiajia Zhang, Prakash Nagarkatti and Mitzi

Nagarkatti, Histone Modifications Are Associated With Delta(9)-Tetrahydrocannabinol-Mediated

Alterations in Antigen-Specific T Cell Responses, Journal of Biological Chemistry, 289(27),

18707-18718, 2014.

139. Juhua Zhou, Prakash Nagarkatti, Yin Zhong, Jay Ginsberg, Narendra Singh, Jiajia Zhang

and Mitzi Nagarkatti, Dysregulation in MicroRNA Expression is Associated with Alterations

in Immune Functions in Post-traumatic Stress Disorder, PLOS ONE, April 23, 2014.

140. Junxiu Liu, Xuemei Sui, Carl J. Lavie, Jiajia Zhang, James Hebert, Conrad Earnest, Steven

Blair, Association of Coffee Consumption with All-Cause and Cardiovascular Disease Mortality,

Mayo Clinic Proceedings, 88(10), 1066-1074, 2013.

141. Ranran Song, Jiajia Zhang, Bo Wang, Hui Zhang, Hanrong Wu, A Near-Infrared Brain

Function Study of Chinese Dyslexic Children, Neurocase, 19(4), 382-389, 2013.

142. Xuemei Sui, Jiajia Zhang, Duck-chul Lee, Timothy Church, Wenbin Lu, Junxiu Liu, and

Steven Blair, Physical Activity/Fitness Peaks during Perimenopause and BMI Change Patterns

are not Associated with Baseline Activity/Fitness in Women: A Longitudinal Study with a

Median 7-Year Follow-Up, British Journal of Sports Medicine, 47, 77-83, 2013.

143. Xuemei Sui, Hongjuan Li, Jiajia Zhang, Li Chen, Ling Zhu and Steven Blair, Percentage of

deaths attributable to poor cardiovascular health lifestyle factors: Findings from the Aerobics

16


Center Longitudinal Study, Epidemiology Research International, 2013, Article ID 437465, 9

pages, 2013. doi:10.1155/2013/437465.

144. Zhao Sun, Li Zou, Jiajia Zhang, Shengnan Mo, Shanshan Shao, Rong Zhong, Juntao Ke,

Xuzai Lu, Xiaoping Miao, Ranran Song, Prevalence and Associated Risk Factors of Dyslexic

Children in China: A Cross-Sectional Study, PLOS ONE, 8(2), e56688, 2013.

145. Avnish Tripathia*, Jeanette Jerrell, Angela Liese, Jiajia Zhang, Ali Rizvi, Helmut Albrecht,

Wayne Duffus, Association of Clinical and Therapeutic Factors with Incident Dyslipidemia in

a Cohort of HIV-infected and non-HIV-infected Adults: 1994-2011, Metabolic Syndrome and

Related Disorders, 11(6), 417-426, 2013.

146. Deepak Kanojia, Weidong Zhou, Jiajia Zhang, Pang-Kuo Lo, Yiben Gu, Jun Zhou and Hexin

Chen, Proteomic Profiling Of Cancer Stem Cells Derived From Primary Tumors of Her2/Neu

Transgenic Mice, Proteomics, 12(22), 3407-3415, 2012.

147. Juhua Zhou, Prakash Nagarkatti, Yin Zhong, Kim Creek, Jiajia Zhang and Mitzi Nagarkatti,

Implications of Single Nucleotide Polymorphisms in CD44 Exon2 in Risk for Breast Cancer,

European Journal of Cancer Prevention, 20(5), 396-402, 2011.

148. Juhua Zhou, Prakash Nagarkatti, Yin Zhong, Kim Creek, Jiajia Zhang and Mitzi Nagarkatti,

Unique SNP in CD44 Intron 1 and its Role in Breast Cancer Development, Anticancer Research,

30, 1263-1272, 2010.

Letter to Editor

149. Songfeng Wang*, Jiajia Zhang and Wenbin Lu, Reply to the letter to the editor “Sample Size

Calculation for the Proportional Hazards Cure Model”, Statistics in Medicine, 34(17), 2015.

150. Matteo Bottai and Jiajia Zhang, Reply to the Letter to the Editor, Biometrical Journal,

53(5), 861-866, 2011.

Publications in Unrefereed Journals

1. Yingding Wang* and Jiajia Zhang, Simulation Study of Profile Likelihood Method in the

Accelerated Failure Time Model, Proceedings of Joint Statistical Meeting, 2012.

2. Deepak Kanojia, Weidong Zhou, Jiajia Zhang, Pang-Kuo Lo, Jun Zhou, and Hexin Chen.

Identification of Differentially Expressed Proteins in Breast Cancer Stem Cells Using Proteomic

Profiling, Cancer Research April 15, 2012; 72(8 Supplement): 5347.

3. Han Sun*, Jiajia Zhang and Ji Luo, Estimations of Relative Risk: Simulation Comparisons

in SAS, Proceedings of Joint Statistical Meeting, 2011.

17


4. Songfeng Wang*, Jiajia Zhang, Developing User-Defined Functions in SAS: a Summary and

Comparison (Selected by SAS Global Forum 2011).

Paper Under Review

1. Jie Zhou*, Jiajia Zhang, and Wenbin Lu, TransModel: an R Package on Linear Transforma-

tion Models with Censored Data, Revision submitted to Journal of Statistical Software.

2. Alexander C. McLain, Marie Thoma, Caroline Hartnett, Jiajia Zhang, Cross-sectional length-

biased semi-competing risks data (in progress).

3. Jie Zhou*, Jiajia Zhang, Semiparametric Regression of the Illness-Death Model with Interval

Censored Disease Incidence Time: an Application to the ACLS Data, submitted to Statistical

Methods in Medical Research.

4. Ennan Gu*, Jiajia Zhang, Wenbin Lu, Lianming Wang and Felizzi Federico, Semiparamet-

ric Estimation of the Cure Fraction in Population-based Cancer Survival Analysis, Revision

suggested by Statistics in Medicine.

5. Xin Chen, Rui Song, Jiajia Zhang, Liuquan Sun, Swann Arp Adams and Wenbin Lu, Optimal

Individualized Treatment Initiation Regime, submitted to Journal of the American Statistical

Association.

6. Yuexia Zhang,,Guoyou Qin,,Zhongyi Zhu, and Jiajia Zhang, Empirical Likelihood Inference

for Longitudinal Data with Covariate Measurement Errors: An Application to LEAN Study,

submitted to Statistics in Medicine.

7. Jiali Zheng, Fred K. Tabung, Jiajia Zhang, Angela D. Liese, Nitin Shivappa, Judith K.

Ockene, Bette J. Caan, Candyce H. Kroenke, James R. Hebert, and Susan E Steck, Association

between post-cancer diagnosis dietary inflammatory potential and mortality among invasive

breast cancer survivors in the Women’s Health Initiative, submit to Epidemiology, Biomarkers

& Prevention.

8. Jiali Zheng, Michael D. Wirth, Anwar T. Merchant, Jiajia Zhang, Nitin Shivappa, Rachael

Z. Stolzenberg-Solomon, James R. Hebert, Susan E. Steck, Inflammatory potential of diet,

inflammation-related lifestyle factors and risk of pancreatic cancer: Results from the NIH-

AARP Diet and Health Study, Cancer Epidemiology, Biomarkers & Prevention.

9. Lingfei Liu, Xiu Luo, Huaiting Gu, Fang Hou, Xinyan Xie, Xin Li, Jiajia Zhang, Ranran Song,

Socioeconomic Status and Reading Ability in Chinese Primary School Students: The role of

Dietary Habits, submitted to Preventive Medicine.

18


10. Omonefe Omofuma, David Turner, Lindsay Peterson, Anwar Merchant, Jiajia Zhang, and

Susan Steck, Dietary advanced glycation end-products (AGEs) and risk of breast cancer in the

Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (PLCO), Cancer Prevention

Research.

Grants

Principal Investigator / Co-Principal Investigator

1. Excellent Initiative: Big Data Health Science Center (BDHSC), Role: Electronic Health Core

Leader, Effective Date: 08/16/2019-8/15/2023.

2. Administrative Supplement to Big Data Analytics of HIV Treatment Gaps in South Carolina:

Identification and Prediction (R01), Role: Co-I (15%), PI: Xiaoming Li & Banky Olatosi, Total

amount awarded: $215,000. Effective Date: 07/01/2019–06/30/2020.

3. Big Data Analytics of HIV Treatment Gaps in South Carolina: Identification and Prediction

(R01), Role: Co-I (15%), PI: Xiaoming Li & Banky Olatosi, Total amount awarded: $3,101,969,

Effective Date: 07/01/2017–06/30/2022.

4. AFT/PH Cure-rate Algorithms with Background Survival Mixture Cure Rate (parametric)

Approaches with PH/AFT Cure Model Inclusion of Background Mortality, F. Hoffman La

Roche, Role: PI, Total amount awarded: $53,356, Effective Date: 07/01/2016–07/18/2017.

5. Innovative Spatio-Temporal Survival Models Allowing Crossing Survival, National Institutes

of Health (R03), Role: MPI, Total amount awarded: $141,056, Effective Date: 1/1/2014–

12/31/2016.

6. Innovative Spatial Survival Models with Geographically Varying Coefficients, National Insti-

tutes of Health/National Cancer Institute (R03), Role: PI, Total amount awarded: $145,000,

Effective Date: 2/1/2012–1/31/2015.

7. Innovative Spatio-Temporal Survival Models Allowing Crossing Survival, Aspire I Track III,

Role: PI, Total amount awarded: $15,000, Effective date: 5/16/2013–9/15/2014.

8. Sample Size Method and Software Development in Survival Trial with a Cure Rate, National In-

stitutes of Health (R03), Role: PI, Total amount awarded: $157,994, Effective Date: 7/1/2010–

6/31/2013.

9. Development and Evaluation of Spatial Survival Models, National Institutes of Health (R03),

Role: PI, Total amount awarded: $150,466, Effective Date: 9/1/2009–8/31/2012.

10. Development and Evaluation of Accelerated Hazards Mixture Cure Model, National Insti-

tutes of Health (R03), Role: PI, Total amount awarded: $145,152, Effective Date: 8/1/2009–

7/31/2012.

Co-Investigator

19


11. Estimating Population Level Infertility and Fertility Treatment Rates, Role: Co-I (5%), PI:

Alexander Mclain, Effective Date: 1/19/2019-12/31/2020.

12. Dietary Supplements and Inflammation, National Institutes of Health (COBRE), Role: Bio-

statistician (8%), PI: Prakash Nagarkatti, Effective Date: 9/1/2018–8/31/2023.

13. Brain Targeted Nanoparticle For Alzheimer’s Disease Therapy (R01), National Institutes of

Health, Role: Co-I (5%), PI: Peisheng Xu, Effective Date: 3/1/2017–2/28/2022.

14. Center for CAM Research on Autoimmune and Inflammatory Diseases, National Institutes of

Health, Role: Co-I (8%), PI: Prakash Nagarkatti, Effective Date: 9/1/2014–8/31/2019.

15. Interdisciplinary Graduate Training Program in Cancer Disparities, Susan G. Komen, Role:

Mentor Committee, PI: Susan Steck, Effective Date: 06/28/2017-06/27/2020.

16. Reducing Colorectal Cancer Disparities: Racial Differences in Colorectal Polyp Profile (R21),

National Institutes of Health, Role: Co-I (4%), PI: Sudha Xirasagar, Effective Date: 1/1/2016–

12/31/2018.

17. Nano-cocktail Overcomes Multidrug-Resistance for Ovarian Cancer Therapy (R15), National

Institutes of Health, Role: Co-I (1%), PI: Peisheng Xu, Effective Date: 07/01/2015-06/30/2018.

18. Dietary Supplements and Inflammation, National Institutes of Health (COBRE), Role: Bio-

statistician (25%), PI: Prakash Nagarkatti, Effective Date: 9/1/2012–5/31/2018.

19. Supplementary to Reducing Colorectal Cancer Disparities: Racial Differences in Colorectal

Polyp Profile, National Institutes of Health, PI: Sudha Xirasagar, Role: Co-I (8%), Effective

Date: 1/1/2016–12/31/2017.

20. Identifying Predictors of Racial Disparity in Treatment and Mortality among Patients Diag-

nosed with Breast Cancer in South Carolina and Geospatial Investigation of Breast Cancer

Patient Navigation, National Institutes of Health, Role: Mentor, PI: Oluwole Babatunde, Ef-

fective Date: 09/01/2017 - 08/31/2023.

21. Targeting the p62 Signalosome in Leukemia (R01), National Institutes of Health, Role: Co-I

(5%), PI: Jing Fang, Effective Date: 07/01/2017–06/30/2018.

22. SPARC: Joint Model of the CVD Mortality and Nonlinear Longitudinal Effect of Physical

Activity, Role: Major Mentor, PI: Jie Zhou*, Effective Date: 05/01/2016–09/30/2017.

23. HER2 and the Link between Inflammation and Cancer Stem Cells, National Center for Research

Resources, Role: Biostatistician, PI: Hexin Chen, Effective date: 8/8/2013-5/31/2017.

24. A Geospatial Investigation Of Breast Cancer Health Disparities, National Institutes of Health

(R15), Role: Co-I (5%), PI: Swann Adam, Effective Date: 9/19/2014 – 9/18/2016.

25. Inflammatory Potential of Diet and Risk of Cancer Mortality in Women, American Institute for

Cancer Research, Biostatistician (5%), PI: Susan Steck, Effective Date: 1/1/2015–12/31/2016.

20


26. The Gene Polymorphisms among Chinese Dyslexic Children Modulate a Molecular Network In-

volved in Neuronal Migration, National Natural Sciences Foundation of China NSFC 81273092,

Role: Consultant, PI: Ranran Song, Effective Date: 01/01/2013-12/31/2016,

27. Intervention to Improve Quality of Life for African-American Lupus Patients (IQAN), National

Institutes of Health, Role: Biostatistician (5%), PI: Edith Williams, Effective Date: 9/1/2012–

8/31/2016.

28. Immunopathological Basis of PTSD, National Institutes of Health (R01), Role:Co-I (5%), PI:

Prakash Nagarkatti, Effective Date: 7/1/2011–6/31/2016.

29. Dietary Inflammatory Index and Risk of Breast and Colorectal Cancers, Prevent Cancer Foun-

dation, Role: Biostatistician (3%), PI: Susan Steck (PI), Effective Date: 2/15/2013–2/14/2015.

30. Periodontal Microorganisms and Markers of Cardiovascular Disease in Youth, American Dia-

betes Association, Role: Co-I (5%), PI: Anwar Merchant, Effective Date: 7/1/2011–6/31/2014.

31. Intracellular Self-Expanding Nanogel for Colon Cancer Therapy, SOAR-USC ACS IRG grant,

Role: Consultant (1%), PI: Peisheng Xu, Effective Date: 03/01/2013 – 02/28/2014.

32. Dietary Inflammatory Index and Risk of Cancer in Women (F31), National Research Service

Award, Role: Mentor Committee, PI: Fred Tabung, Effective Date: 10/01/2013–08/09/2014.

33. Identifying Immortal Patients in Population-Based Cancer Registries, Role: Consultant, Date:

9/1/2012-5/15/2013.

34. Reducing Cancer Disparities: Incident Cancer after Colonoscopies by Primary Care Physi-

cians, National Cancer Institute (R15), Role: Co-I (5%), PI: Sudha Xirasagar, Effective Date:

1/1/2011–12/31/2013.

35. Correlation Between Substances Changes of Language-implicated Acupoints and Brain Acti-

vation among Chinese Children with Dyslexia, National Natural Sciences Foundation of China

(No.30600501, Jan 2007), Role: Consultant.

Pending PI Grants

1. A statewide cohort of cancer risk among elderly people living with HIV, National Institutes of

Health (R01), Role: PI.

2. Improving Mental Health Services Utilization for Suicide in SC via Big Data Science, National

Institutes of Health (R01), Role: PI.

3. Integrative Data Analysis for Longitudinal Exposure and Cancer Mortality, National Institutes

of Health (R03), Role: PI.

Selected Unfunded PI Grants

1. Innovative Spatial Survival Model Allowing Short and Long Term Cancer Survivors, National

Institutes of Health (R21), Score: 17%, Role: PI.

21


2. A New Spatiotemporal Survival Model Accounting for Geographical Residence Change, Na-

tional Institutes of Health (R21), Score: 16%, Role: PI.

3. Functional Classification of Longitudinal Fitness Pattern on Cancer Mortality, National Insti-

tutes of Health (R21), Score: 24%; (R03), Score 30, Role: PI.

4. New Method to Quantify Distance Impact on Breast Cancer Diagnosis and Survival, National

Institutes of Health (R21), Score: 56%, Role: PI.

5. Integrative Data Analysis for Longitudinal Exposure and Cancer Mortality, National Institutes

of Health (R21), Not discussed. Role: PI.

6. Development and Evaluation of Innovative Methods for Reducing Spatial Uncertainty, National

Institutes of Health (R01), Not discussed. Role: PI.

7. Functional analysis of longitudinal physical activity pattern on cancer survival, National Insti-

tutes of Health (R01), Not discussed. Role: PI.

Presentations, Conferences and Workshops

(All presentations and seminars are presented by Jiajia Zhang.)

• Invited Talk

1. A Varying-Coefficient Generalized Odds Rate Model with Time-Varying Exposure, ICSA,

Raleigh, NC, June 9-12, 2019

2. Nonparametric Estimation of the Semi Competing regression Model with Interval Censored

Illness, ICSA-Qingdao, July 2-5, 2018

3. Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model

with Interval Censored Data, 2017 IMS-China International conference on Statistics and

Probability, Nanning, Guangxi, June 28–July 1, 2017.

4. Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model

with Interval Censored Data, 2017 Lifetime Data Science Conference: Data Science, Pre-

cision Medicine and Risk Analysis with Lifetime Data, University of Connecticut, Storrs,

CT, May 25–27, 2017.

5. Modelling county level cancer survival data using a covariate-adjusted frailty model, In-

ternational Conference on Advances in Interdisciplinary Statistics and Combinatorics,

Greensboro, NC, Sep 30–Oct 2, 2016.

6. Modelling county level cancer survival data using a covariate-adjusted frailty model, ICSA

Conferences Data Science, Dali, Yunnan, China, July 2–4, 2016.

7. Spatial Extended Hazard Model with Application to South Carolina Prostate Cancer Data,

ICSA Applied Statistics Symposium, Atlanta, Georgia, June 12–15, 2016.

22


8. Accelerated Intensity Frailty Model for Recurrent Events Data, 2015 IMS-China Inter-

national Conference on Statistics and Probability, Kunming, Yunnan, China, July 1–4,

2015.

9. Spatial Extended Hazard Model with Application to South Carolina Prostate Cancer Data,

ICSA Shanghai Statistics Conference, Fudan, Shanghai, China, July 6–7, 2015.

10. Accelerated Intensity Frailty Model for Recurrent Events Data, ICSA/Graybill Joint Con-

ference, Colorado State University, Fort Collins, CO, June 14–17, 2015.

11. Spatial Extended Hazard Model with Application to South Carolina Prostate Cancer Data

The 4th Workshop on Biostatistics and Bioinformatic, Georgia State University, GA, May

8–10, 2015.

12. Accelerated Intensity Frailty Model for Recurrent Events Data, South Carolina Statistics

Consortium, Clemens, SC, November 15, 2014.

13. Accelerated Intensity Frailty Model for Recurrent Events Data, International Conference

on Advances in Interdisciplinary Statistics and Combinatorics, Greensboro, NC, October

10–12, 2014.

14. Efficient Estimation in Accelerated Intensity Frailty Model for Recurrent Events Data,

ICSA-KISS 2014 Joint Applied Statistics Symposium, Portland, June 15–18, 2014.

15. Induced smoothing for the semiparametric accelerated hazards model, Joint Statistical

Meetings, Montreal, CA, August 3–8, 2013.

16. A New Semiparametric Estimation Method for Accelerated Hazards Mixture Cure Model,

ICSA 2013 Applied Statistics Symposium/ISBS International Symposium, Bethesda, Mary-

land, June 9–12, 2013.

17. Semiparametric Estimation Methods for the Accelerated Hazards Model, International

Conference on Advances in Interdisciplinary Statistics and Combinatorics, Greensboro,

NC, October 5–7, 2012.

18. Induced Smoothing for the Semiparametric Accelerated Hazards Model, Second Joint Bio-

statistics Symposium, Beijing, China, July 8–9, 2012.

19. A New Semiparametric Estimation Method for Accelerated Hazards Model, ICSA 2011

Applied Statistical Symposium, New York City, June 25–29, 2011.

• Invited Seminar Presentations

20. School of Public Health, Tongji Medical College, Huazhong University of Science and

Technology, Wuhan, Hubei, China, June, 2018.

21. Department of Statistics, East China Normal University, Shanghai, China, June, 2018.

23


22. Department of Mathematics and Statistics, Jiangxi Normal University, June, 2018.

23. School of Mathematics and Statistics, Zhejiang University of Finance and Economics,

Hangzhou, China, June, 2017.


25. School of Statistics and Management, Shanghai University of Finance and Economics,

Shanghai, June, 2017.

26. Department of Mathematics and Statistics, Anhui University, Hefei, Anhui, China, June,

2017.

27. School of Public Health, Anhui Medical University, Naning, Jiangshu, China, June, 2017.

28. School of Public Health, Nanjing Medical University, Nanjing, Guangxi, China, June,

2017.

29. School of Public Health, Guangxi Medical University, Naning, Guangxi, China, June,

2017.



31. Department of Mathematics, University of Alabama, Alabama, Aug, 2016.



Shanghai, June, 2016.




Technology, Wuhan, Hubei, China, July, 2015.

36. Department of Statistics, East China Normal University, Shanghai, China, July, 2015.


Hangzhou, China, July, 2015.


Shanghai, July, 2015.

39. Department of Mathematics and Statistics, Queen’s University, Canada, May, 2014.

40. Department of Statistics, Zhejiang University, Hangzhou, China, March, 2014.


Hangzhou, China, March, 2014.

24



Shanghai, China, March, 2014.

43. Department of Statistics, Fudan University, Shanghai, China, March, 2014.

44. Department of Statistics, East China Normal University, Shanghai, China, March, 2014.

45. Department of Statistics, East China Normal University, Shanghai, China, March, 2014.

46. Department of Mathematics and Statistics, Georgia State University, March, 2014.

47. Department of Epidemiology and Biostatistics, University of South Carolina, Oct, 2013.

48. Department of Mathematics and Statistics, University of North Carolina, Charlotte , Oct,

2012.


Hangzhou, China, June, 2012.


Shanghai, China, June, 2012.

51. Department of Statistics, Fudan University, Shanghai, China, June, 2012.


53. Department of Statistics, University of South Carolina, Feb, 2011.

54. Department of Epidemiology and Biostatistics, University of South Carolina, Nov 10,

2010.

55. Department of Mathematics, University of South Carolina, Sep, 2010.

56. Department of Mathematics and Statistics, University of Saskatchewan, Jan, 2009.

57. Department of Statistics, University of South Carolina, Oct, 2008.

58. Department of Community Health and Epidemiology, Queen’s University, Ontario, May,

2008.

59. Department of Epidemiology and Biostatistics, University of South Carolina, Feb, 2008.

• Contributed Talk

60. Association of ART with Cancer incidence from South Carolina, Fighting HIV with Big

Data Round Table, APHA annual Meeting San Diego, CA, Nov 10-14, 2018.

61. A New Semiparametric Estimation Method for Accelerated Hazards Mixture Cure Model,

ENAR 2013 Spring Meetings, Orlando, Florida, Mar 10–13, 2013.

62. A semiparametric accelerated failure time partial linear model and its application to breast

cancer, ENAR 2012 Spring Meetings, Washington D.C, Mar. 30–Apr. 4, 2012.

25


63. Crossing Hazard Functions in Common Survival Models, Joint Statistical Meetings, Mi-

ami, FL, Jul. 30–Aug 4, 2011.

64. An Alternative Estimation Method for the Semiparametric Accelerated Failure Time Mix-

ture Cure Model, ENAR 2011 Spring Meetings, Miami, FL, Mar 20–23, 2011.

65. Accelerated Hazards Mixture Cure Model, 37th Annual Meeting of the Statistical Society

of Canada, University of British Columbia, Vancouver, British Columbia, May 31–Jun 3,

2009.

66. Accelerated Hazards Mixture Cure Model, ENAR 2009 Spring Meetings, Grand Hyatt, San

Antonio, Mar 15–18, 2009.

67. Estimation Method of the Semiparametric Mixture Cure Gamma Frailty Model, Joint Sta-

tistical Meetings, Denver, Colorado, Aug 3–7, 2008.

68. Estimation Method of the Semiparametric Mixture Cure Gamma Frailty Model, 36th An-

nual Meeting of the Statistical Society of Canada, University of Ottawa, Ontario, Jun

25–29, 2008.

69. Identifiability of the Mixture Cure Frailty Model, 35th Annual Meeting of the Statistical

Society of Canada, Memorial University of Newfoundland, St. John’s, Jun 10–13, 2007.

70. A new estimation method for the semiparametric accelerated failure time mixture cure

model, XXXIII International Biometric Conference, Montreal, Quebec, Jul 16–21, 2006.

71. An alternative algorithm to the accelerated failure time frailty model, 33rd Annual Meeting

of the Statistical Society of Canada, University of Saskatchewan, Saskatoon, Jun 12–15,

2005.

• Workshop

72. Biostatistical Institute Courses: Introduction to R, Andrew Lawson & Jiajia Zhang, Uni-

versity of South Carolina, Columbia, SC, May 13, 2008.

Students under Supervision

• Visiting Scholar & Postdoc

– Rifat Haider, Post-doc fellow for Big Data Analytics of HIV Treatment Gaps in South

Carolina(R01), Nov. 2017–.

– Shujie Chen, Undergraduate Student in Biostatistics, Nanjing Medical University, Jan–

May, 2017.

26


– Yin Wang, Undergraduate Student in Epidemiology, Nanjing Medical University, Jan–

May, 2017.

– Yijun Wang, Doctor Student in Statistics, East China Normal University, Sep 2016– Sep

2017.

– Junying Zhang, Doctor Student in Statistics, East China Normal University, Sep 2015–

Feb 2016.

– Xiangrong Liu, Associate Professor, School of Mathematics and Statistics, Zhejiang Uni-

versity of Finance and Economics, Sep 2014–Sep 2015.

– Wenli Deng, Associate Professor in Statistics, Department of Mathematics and Informa-

tion Science, Jiangxi Normal University, Nov 2012–Apr 2013.

– Haifeng Li, Doctor Student in Statistics, East China Normal University, June 2011–June

2012.

– Ji Luo, Post-doc fellow, Associate Professor in Statistics, School of Mathematics and

Statistics, Zhejiang University of Finance and Economics, Feb. 2010– Mar. 2011.

• Doctoral Student

– Siyuan Guo, Doctoral Student in Biostatistics, starting from 2018.

– Xiaowen Sun, Doctoral Student in Biostatistics, starting from 2018.

– Ennan Gu, Doctor Student in Statistics, in progress, Starting from 2016.

– Jie Zhou, Doctoral Student in Biostatistics.

Defense on: Jan 22, 2018.

Dissertation Title: Complex Survival Models and Their Applications in Epidemiology

Studies.

Current Position: Biostatistician, Statistical Collaborative Inc, Washington, D.C.

– Yinding Wang, Doctoral Student in Biostatistics.

Defense on Nov 7, 2017.

Dissertation Title: Semiparametric Estimation Methods for Complex Accelerated Failure

Time Model.

Current Position: Biostatistician, Centers for Disease Control and Prevention (CDC),

Atlanta, Georgia

– Chao Cai, Doctoral Student in Biostatistics.

Defense on Apr 5, 2013.

Dissertation Title: Advanced Methodology Developments in Mixture Cure Models.

She was awarded the Outstanding Student in Biostatistics 2013, Epidemiology and Bio-

statistics, University of SC.

Current Position: Biosatistician in the department of Psychology, USC.

27


– Songfeng Wang, Doctoral student in Biostatistics.

Defense on Apr 24, 2012.

Dissertation Title: Extending Sample Size Calculation for the Cox Proportional Hazards

Model.

He was awarded the Outstanding Student in Biostatistics 2012, Epidemiology and Bio-

statistics, USC.

Current Position: Statistician at Wells Fargo, San Francisco, California

– Linzhi Xu, Doctoral student in Biostatistics.

Defense on Jun 23, 2009.

Dissertation Title: Estimation Methods for the Extended Semiparametric Accelerated

Failure Time Models.

Current Position: Biostatistician in MedStar Cardiovascular Research Network, Washing-

ton D. C.

• Master Student

– Shujie Chen, Master Student in Biostatistics.

– Yanan Zhang, Master Student in Biostatistics.

Defense on August 11, 2017.

Thesis Title: Marginal Structure Cox Model for Survival Data with Treatment-Confounder

Feedback.

– Shanshan Hong, Master Student in Biostatistics.

Defense May 31, 2017.

Thesis Title: Evaluation of Goodness-of-Fit Tests for the Cox Proportional Hazards Model

with Time-Varying Covariates.

– Yihong Zhan, Master Student in Biostatistics.

Defense on June 1, 2016.

Thesis Title: Sample Size Calculation for PH Mixture Cure Model.

– Myra Robinson, Master Student in Biostatistics.

Defense on August 8, 2014.

Thesis Title: Mixture Cure Models: Simulation Comparisons of Methods in R and SAS.

– Jie Zhou, Master Student in Biostatistics.

Defense on June 20, 2014.

Thesis Title: A Multiple Imputation Approach For Semiparametric Cure Model With

Interval Censored Data.

– Jaymie Shanahan, Master student in Biostatistics.

Defense on Dec 14, 2012.

28


Thesis Title: A New Method for the Comparison of Survival Distributions.

– Yinding Wang, Master student in Biostatistics.

Defense on Mar 12, 2012.

Thesis Title: Simulation Comparisons of Semi-parametric Accelerated Failure Time Model

with Different Bandwidths.

– Han Sun, Master student in Biostatistics.

Defense on Sep 10, 2010.

Thesis Title: Estimations of Relative Risk: Simulation Comparisons of Popular Methods

in SAS and R.

Doctoral Dissertation and Master’s Thesis Committee Memberships (Current):

• Cassie Odahowski, Doctoral student in Epidemiology.

• Qiang Zheng, Doctoral student in Statistics.

• Yanping Jiang, Doctoral student in Health Promotion, Education, and Behavior.

• Wendi Da, Doctoral student in Health Services, Policy and Management.

• Khairul Alam Siddiqi, Doctoral student in Department of Health Services Policy and Manage-

ment.

• Omonefe Omofuma, Doctoral student in Epidemiology.

• Jonathan Payne, Doctoral student in Exercise.

Doctoral Dissertation and Master’s Thesis Committee Memberships (Completed):

• Doctoral Dissertation Committee

1. Xiang Li, Candidate in Statistics.

2. Yan Zhang, Candidate in Computer Science and Engineering

3. Roy Bower, Candidate in Biostatistics.

4. Jiali Zheng, Candidate in Epidemiology.

5. Shraddha Vyas, Candidate in Epidemiology.

6. Marsha Samson, Candidate in Epidemiology.

7. Junshu Bao, Candidate in Statistics.

8. John Kuntz, Candidate in Epidemiology.

9. Yong-Moon (Mark) Park, Candidate in Epidemiology.

10. Georgiana Onicescu, Candidate in Biostatistics, Medical University of South Carolina.

11. Georges El Nahas, Candidate in Epidemiology.

29


12. Haiming Zhou, Candidate in statistics.

13. Nancheng Wang, Candidate in statistics.

14. Fred Tabung, Candidate in Epidemiology.

15. Deepika Shrestha, Candidate in Epidemiology.

16. Afiba Manza-Azele Agovi, Candidate in Epidemiology.

17. Li Li, Candidate in Statistics.

18. Blake Hill, Candidate in Statistics.

19. Chun Pan, Candidate in Biostatistics.

20. Wendy Li, Candidate in Health Services, Policy and Management.

21. Leepao Khang, Candidate in Epidemiology.

22. Yuhui Chen, Candidate in statistics.

23. Hasan Areabi, Candidate in Health services, policy and management.

24. Margarita Pate, Candidate in Health services, policy and management.

25. Lisa Melvin, Candidate in Health services, policy and management.

26. Avnish Tripathi, Candidate in Epidemiology.

27. Nusrat Harun, Candidate in Biostatistics.

28. Andre Melvin, Candidate in Health services, policy and management.

29. Sean Wu, Candidate in Health services, policy and management.

30. Xiao Xiao, Candidate in Mathematics

31. Candace Porter, Candidate in Biostatistics.

32. Ahmed Al-hadhrami, Candidate in Biostatistics.

33. Jinxin Gao, Candidate in Statistics.

34. Li Tian, Candidate in Mathematics.

35. Sumithran Rasathurai, Candidate in Biostatistics.

• Master Thesis Committee

1. Tsion Kidanie, Candidate in Epidemiology.

2. Paige Anderson, Candidate in Epidemiology.

3. Chisom Onyeuku, Candidate in Epidemiology.

4. Genevieve Ray Lyons, Candidate in Biostatistics.

5. Xin Tong, Candidate in Biostatistics.

6. Andrew Ortaglia, Candidate in Biostatistics.

7. Jie Zhang, Candidate in Biostatistics.

8. Lareissa Stumm, Candidate in Epidemiology.

Consulting Practice Advisor:

30


• Ike Ogbuanu, MD, MPH.

Courses Taught

Department of Epidemiology and Biostatistics, University of South Carolina

• Bios811, Survival Analysis II, Every other year 2009-2015, Spring 2018

• Bios810/761, Survival Analysis I, Every Fall 2010-2019

• Bios758, Advanced Linear Models in Biostatistics, Spring 2019

• BiosJ757, Intermediate Biometrics, Spring 2016

• Bios845 Doctoral Seminar, Every Spring 2010-2016

• Bios745 Master Seminar, Spring 2014

• Bios701, Concepts and Methods of Biostatistics, Fall 2011

• Bios700, Introduction to Biostatistics, Fall 2008

Services

University of Pittsburgh: Outside reviewer for promotion May, 2016

Fudan University: Outside reviewer for promotion Jan, 2016

University of South Carolina

• Discovery Day Judge April 22 2016; 2017; 2018

• Aspire Reviewer March 2014, Nov 2018

School of Public Health, University of South Carolina

• Scholastic Standards and Petitions Aug 2017–

• Public Health T& P Committee Aug 2013–

• Information Technology and Resources Sep 2013–2017

Department of Epidemiology and Biostatistics, University of South Carolina

• Biostatistical Position Search Committee Chair Aug 2017-2018

• Member of Admission Committee Aug 2008–

31


• Member of Exam Committee Aug 2008–2012, Aug 2017–2019

• Organizing Bios Forum Aug 2010–Aug 2014

• Epidemiology Course Curriculum Committee Aug 2011-2012

• Epidemiology Methods Search Committee Oct 2011-2012

• Member of Course Curriculum Committee

Member of Course Competencies Subcommittee Aug 2007–2008

Professional Services

• NIH Grant Reviewer

– NIH SCORE program reviewer, July, 2019

– NIH/CSR Behavioral/Social Science Methods and Measurement Special Emphasis Panel

(SEP) meeting, Jan 2019

– NCI SEER Program Proposals (ZCA1 SRB-2 (J1)), Hyatt Regency Bethesda, Bethesda,

MD Sep 26– 27 2017

– Transfusion Medicine Grant Review Meeting ( ZRG1 VH-D55 VM ) Mar 6–7 2017

– Transfusion Medicine Grant Review Meeting ( ZRG1 VH-D55 IAM ) Mar 2–3 2016

– Selected Topics in Transfusion Medicine ( ZRG1 VH-F(55) ) Feb 5–6 2015

– Huazhong University of Science and Technology (HUST), China: Candidate of the Aca-

demic Frontier Youth Team Project Sep

2015

• Conference Paper Reviewer

– Judge of Student Papers for the ICSA Conference 2019.

– Judge of Student Papers for the Lifetime Data Science (LiDS) Conference 2019.

• Journal Reviewer:

− Biometrics − Biostatistics

− Statistics in Medicine − Statistical Methods in Medical Research

− Statistic Sinica − Technometrica

− Computational Statistics and Data Analysis − Biometrical Journal

− Lifetime Data Analysis − Statistical Modelling

− Journal of Applied Statistics − Journal of Computational and Simulation

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− Computational statistics − Journal of Applied Statistics

− Electronic Journal of Statistics − Journal of Probability and Statistics

− Journal of Statistical Theory and Practice − Journal of Biopharmaceutical Statistics

− Pharmaceutical Statistics − JAMA Pediatrics

− Communication in Statistics: Theory and Method − Spatial Statistics

− Communication in Statistics: Computation and

Simulation

− Neurosurgery

− Oncotarget

• Session organizer:

– ICSA - North Carolina, USA, June, 2019.

– Eco-Stat - Hongkong, China, July, 2018.

– ICSA - Qingdao, China, July, 2018.

– ICSA - Canada Chapter Symposium 2017 Vancouver, Vancouver, Aug, 2017.

– ICSA 2016 Applied Statistical Symposium, Atlanta, June, 2016.

– ICSA Shanghai Statistics Conference, Fudan, Shanghai, China, July, 2015.

– Annual Meeting of the Statistical Society of Canada, May, 2014.

– ICSA-KISS 2014 Joint Applied Statistics Symposium, Portland, June, 2014.

• Session Chair

– ICSA 2016 Applied Statistical Symposium, Atlanta, June, 2016.

– 2015 IMS-China International Conference on Statistics and Probability, Kunming, Yun-

nan, China, July, 2015.

– Annual Meeting of the Statistical Society of Canada, May, 2014.

– Joint Statistical Meetings, Miami, FL, 2011.

– ICSA 2011 Applied Statistical Symposium, New York City, 2011.

– Joint Statistical Meetings, Denver, Colorado, Aug, 2008.

• Editorial Board /Committee Member:

– Organizing committee member, ICSA - North Carolina, USA, June, 2019.

– Neurosurgery, 2010–.

– Journal of Biometrics & Biostatistics, 2010-2011.

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Professional Membership

• American Statistical Association

• International Chinese Statistical Association

• Statistical Society of Canada

34

Jiajia Zhangfor Semiparametric Cure Model With Interval Censored Data, Computational Statistics and...

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