General Overview of Environmental Epidemiology: Concepts ...
Epidemiology: Overview of Key Concepts and Study...
Transcript of Epidemiology: Overview of Key Concepts and Study...
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Epidemiology:Overview of Key Concepts
andStudy Design
Polly Marchbanks
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Lecture Outline (1)
•Key epidemiologic concepts- Definition
- What epi is not…- What epi is…
- Process of epi research
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Lecture Outline (2)
• Study Design – general•Descriptive studies
- Case reports and case series- Descriptive incidence- Descriptive prevalence- Ecologic (correlational)
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Lecture Outline (3)
•Analytic studies- Experimental- Observational
- Cohort - Case-Control - Cross-sectional
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Lecture Outline (4)
• Additional epi concepts- Bias or systematic error
- Selection bias- Information bias- Confounding
• Summary, concluding remarks
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EPIDEMIOLOGY is not…
The study of skin diseases
Local Atlanta Resident
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EPIDEMIOLOGY is (hopefully) not…
The worst-taught course in school
Anonymous Student
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EPIDEMIOLOGY is more than…
The science of long division
Statistician
Io= (480)(2)/106/yr
(9.17)(0.953)+5
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EPIDEMIOLOGY is more than…
The science of epidemics and epidemic diseases
Medical Dictionary
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The Derivation of Epidemiology
epi = upon
demos = people
logy = study of
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Fundamental Assumptions
• Non-randomness
• Preventability
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Definition of Epidemiology
The study of the distributionand determinants of diseaseand health in human populations.
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Unique Contribution of Epidemiology
•Focus is on populations
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Epidemiology (Study)
The study of the distribution anddeterminants of disease and healthin human populations.
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Epidemiology (Distribution)
The study of the distribution anddeterminants of disease and healthin human populations.
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Epidemiology (Determinants)
The study of the distribution anddeterminants of disease and health in human populations.
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Epidemiology (Disease And Health)
The study of the distribution anddeterminants of disease and healthin human populations.
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Applied Epidemiology
• Practical, action-oriented, relevant
• Provides data for decision-making
• Focused on prevention/intervention
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Aims of Epidemiologic Research
•Describe •Explain •Predict•Control
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Levels of Epidemiologic Research
•Theoretical understanding
•Prevention/intervention
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Cholera in London, 1854
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How to Find John Snow Pub
• London• #39 Broadwick Street• Corner of Broadwick & Lexington• Can walk from theater district• Connect these “dots” on a map: Oxford
Circus, Soho Square, Leicester Square, Golden Square—Broadwick is near center of the box you have created
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Exposure Variable - "E"
• Characteristic of interest
• Risk factor variable
• Predictor variable
• Independent variable
• Possible causal factor
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Outcome or Disease Variable - "D"
• Health event of interest
• Illness, injury
• Response variable
• Dependent variable
• Effect variable
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E-D Relationships: Examples• Smoking - lung cancer• Obesity - heart disease• Dietary fat - stroke• Income - malnutrition• Prenatal care - birth defects• Family history - diabetes• Alcohol - motor vehicle injury• Access to care - maternal mortality
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Process of Epidemiologic Research
• Question • Design • Conduct• Analysis• Interpretation• Recommendations
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Process of Process of Problem-solving Epidemiologic Research
1. What is the problem? 1. Question2. How should the 2. Design
problem be approached? 3. Collect information 3. Conduct4. Organize and analyze 4. Analysis
the information5. What does the 5. Interpretation
information mean?6. What are the next 6. Recommendations
steps?
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The process of epidemiologic research is also a method of causal
reasoning.
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Epidemiology
•Theoretical •Applied •Consequential
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Epidemiology: A Public Health Practice Summary Definition
• Quantitative basic science
• Method of causal reasoning
• Vehicle for clinical and public health action
• Can and should make a difference in the lives of people!
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“Epidemiology is FUN…and if it’s not FUN, it’s not epidemiology!”
R. Stallones
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Epidemiologic Study Design
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Study Design: What Is It?
•Process of planning an investigation
•Link between concept and operation
•Bridge from ideas to action
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Process of Epidemiologic Research
• Question • Design • Conduct• Analysis• Interpretation• Recommendations
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!! Let the Epidemiologist Beware !!
" ...all study designs are potentially flawed...there is no such thing as a perfect study design; therefore, it becomes most important to understand the specific limitations of each design...no type of sophisticated statistical analysis will salvage a poorly designed study."
(KKM - pg. 36)
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Categories of Study Design
•Descriptive
•Analytic
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Descriptive Studies: Overview
•Patterns of occurrence •Person, place, time•Program planning•Generate hypotheses
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Descriptive Studies: Examples
• Trends in serum cholesterol• Incidence of cervical cancer • Secular trends in heart disease mortality• Prevalence of domestic violence• Incidence of rape among street youth• Epidemiology of low birth weight• Prevalence of smoking by age and gender• Incidence and prevalence of dementia
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Analytic Studies: Overview
• Determinants of disease • Etiologic research• Joint distribution of exposure (E)
and outcome/disease (D) • Test hypotheses • Quantify association
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Analytic Studies: Examples
• Diet - hypertension• Exercise - depression • Alcohol - liver cirrhosis• Sun exposure - melanoma • Smoking - heart disease• Use of long acting reversible
contraceptives (LARCs) -unintended pregnancy
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Knowledge Continuum
Less More
Descriptive Analytic
• Search for clues • Clues available
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Types of Descriptive Studies
• Case reports and case series• Descriptive incidence studies • Descriptive prevalence studies • Ecologic (correlational) studies
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Case Reports and Case Series
• Profile of a case or case series• Generate new hypotheses• Interface: medicine and epidemiology• Numerator data only• No measure of disease occurrence
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Descriptive Incidence Studies (1)
• Patterns in occurrence of incident cases
• Defined population• Specified period of time• Distribution of cases by factors of
interest
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Descriptive Incidence Studies (2)
• Case ascertainment:– Ongoing reporting systems– Medical record review in highly select
populations
• Denominators usually from census • Numerator and denominator
difficult to obtain for well-defined population
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Descriptive Prevalence Studies (1)
• "Snapshot" of well-defined population• Classify D and other variables at same
time • Captures all existing disease• Also known as cross-sectional surveys
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Descriptive Prevalence Studies (2)
• Advantages: – Quick, inexpensive, useful
• Disadvantages:– Survivor effect – Uncertain temporal relationship
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Ecologic (Correlational) Studies (1)
• D in relation to E at aggregate level • Data from groups not individuals • Unit of observation is a population
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Ecologic (Correlational) Studies (2)
• Ex: correlation between average cigarette sales and heart disease death rates in two counties
• Limitation: no individual link of E-D
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Ecologic (Correlational) Studies (3)
• Advantages: – Quick, inexpensive, data available
• Disadvantages: – Aggregate may not = individual – Inadequate data on co-variables– Averages may mask complex
relationships
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Descriptive Studies - Summary
• Describe patterns of occurrence • Four main types:
– Case reports and case series– Descriptive incidence studies – Descriptive prevalence studies – Ecologic (correlational) studies
• Generate hypotheses for analytic study
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Analytic Studies
• Joint distribution of E-D for individual
• Test hypotheses about E-D relationships
• Categories: experimental, observational
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Experimental Studies (1)
• Assign E randomly, follow for D or other health outcome
• Types: – Clinical trial– Field trial – Community trial
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Experimental Studies (2)
• Rolls Royce!!• Control of extraneous variables,
both known and unknown• Limitations: ethical concerns, cost,
length, not feasible for rare outcomes, volunteer effect
• Stopping rules
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Observational Studies
• Nature prevails • Three main types:
– Cohort– Case-control– Cross-sectional
• Dimensions:– Direction, timing
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Observational Studies -Direction
• Temporal relationship between our observations of E and D
• Forward: start with E • Backward: start with D • Nondirectional: E-D simultaneously• Essence: start with E or D?
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Observational Studies - Timing
• Chronological relationship between onset of study and occurrence of D
• Prospective: study onset --> D– D occurs after study begins
• Retrospective: D --> study onset – D occurs before study begins
• Essence: has the D occurred when the study begins?
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Cohort Studies - Direction
• Subjects free of D selected on basis of E, followed forward in time for D
• Start with persons exposed (YES, NO) • Follow forward for disease (YES, NO)• Direction always forward
– E ----> D
• Timing = prospective or retrospective
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Cohort Studies - Prospective
• D has not yet occurred at study onset– E ---> Study Onset ---> D – Move from E to D through "real time" – D happens in the present,
concurrently with calendar time
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Cohort Studies - Historical (Retrospective)
• D has already occurred at study onset – E ---> D ---> Study Onset
• Direction still forward because moving from E to D
• Move from E to D through "historical time"• D happened in the past, nonconcurrently
with calendar time
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Cohort Studies - TimelineE Study D
Begins |-----------|--------|---->
Prospective Cohort
E D Study Begins
|-----------|---------|---->
Historical Cohort
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Cohort Timeline - ExampleMaternal Thalassemia (Anemia)
And Fetal DeathAnemia Study Death
Begins E D|-----------|--------|---->
Prospective Cohort
Anemia Death Study Begins
E D |-----------|---------|---->Historical Cohort
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Cohort Studies - Review
• Subjects selected on basis of E • Direction always forward
– E ---> D
• Timing– Prospective: "real time" – Retrospective: "historical time"
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Cohort Studies –Flow Chart
Source Population
Study Group E+
Study Group E
D+
D
D+
D
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Cohort - Measures of Occurrence• THINK INCIDENCE!! • Cumulative incidence - risk
– # new cases at end of follow-up divided by # disease-free persons at start of follow-up
• Incidence density - rate– # new cases at end of follow-up divided
by person-time at risk (e.g., person years of disease-free follow-up)
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Cohort - Measures of Association (1)
• Think Relative Risk (RR)!!• Risk ratio if cumulative incidence
study• Rate ratio if incidence density
study • Incidence of D in exposed divided
by incidence of D in unexposed
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Cohort - Measures of Association (2)
• RR = 1 – No difference in incidence of D in
exposed and unexposed – 1.0 = no effect – EX: 10/100 // 10/100 = 1.0
• No association between E and D was observed - exposed and unexposed persons are equally likely to develop D
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Cohort - Measures of Association (3)
• RR > 1 – Suggests that E is a risk factor for D – EX: 50/100 // 10/100 = 5.0
• Exposed persons are 5 times as likely to develop the D, compared with persons not exposed
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Cohort - Measures of Association (4)
• RR < 1 – Suggests that E protects against D– EX: 10/100 // 50/100 = 0.2
• Exposed persons are 0.2 times as likely to develop the D, compared with persons not exposed
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Cohort Studies - Major Advantages
• Logical temporal sequence • Can measure incidence of D• Well-suited for rare E• Can study many effects of one E
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Cohort Studies - Major Disadvantages
• Many subjects needed for rare D • Follow-up: logistics, losses• E status can change over time• Prospective: time-consuming, costly,
observation can influence behaviors• Historical: requires suitable records
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Case-control Studies - Direction
• Review direction: start with E or D? • Subjects selected on basis of D• Start with persons having D (YES, NO) • Compare frequency of E in cases (D)
with frequency of E in controls (non-D)• Look backward for history of E (YES,
NO) • Direction is backward: D ---> E
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Case-control Studies - Timing
• Review timing: has D happened when study begins?
• Basic Design: retrospective – D has occurred before onset of study
• Hybrid Design: prospective component– Study begins, enroll new cases of D
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Control Selection–Guidelines
• Critical design issue• No optimal group for all situations• Controls should...
– Represent source population from which the cases were derived
– Represent persons who, if a case, would have been in the study
– Be selected independently of E
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Possible Sources of Controls
• Random sample of source population often best way to insure controls selected independent of E
• Can use other sources, but be cautious– Hospitals– Friends, relatives, spouses, neighbors
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Review: Case-Control Studies
• Subjects selected on basis of D– Start with D
• Look backward for E• Direction always backward
– Disease ---> Exposure • Timing in basic design is retrospective
- D already occurred when study begins
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Case-Control Studies –Flow Chart
Source Population
Cases D+
Controls D
E+
E
E+
E
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Case-control - Measures of Occurrence
• Basic design: – Usually not possible
• Hybrid design:– Incidence density rates possible if
study is population-based
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Case-control - Measures of Association
• THINK ODDS RATIO (OR)!!• Odds ratio
– Estimator of relative risk – Odds of E among cases compared
with odds of E among controls– Also known as exposure odds ratio– OR = 1 - no association– OR > 1 - suggests E is a risk factor– OR < 1 - suggests E is protective
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Case-control - Major Advantages
• Relatively quick and inexpensive• Well-suited for rare D and D with
long latency• Requires fewer subjects at entry• Can study multiple E
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Case-control - Major Disadvantages
• Design "backward"• Unsuitable for rare E• Usually cannot measure D incidence • Temporal E-D uncertainty• Prone to selection and recall bias
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Pop Quiz
Breast CancerYes No
Yes a b H1OC Use
No c d H2
V1 V2 Total
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Example of Cohort Study:OC Use and Breast Cancer
• Start with OC users and nonusers• Follow forward in time for breast
cancer• Compare incidence of breast cancer
in OC users with incidence of breast cancer in nonusers
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Example of Case-control Study:OC Use and Breast Cancer
• Start with cases of breast cancer and controls who do not have breast cancer
• Look backward in time for a history of OC use
• Compare frequency of OC use in cases with frequency of OC use in controls
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Most Fundamental Difference
• Cohort– Start with exposure
• Case-control– Start with disease
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Analytic Cross-sectional Studies (1)
• "Snapshot" in well-defined population– Assess E-D (prevalent) at same time
• Nondirectional design • Analytic potential
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Analytic Cross-sectional Studies (2)
• Measures of association– Prevalence ratio
• Prevalence of D among E compared with prevalence of D among non-E
– Prevalence odds ratio • Odds of D among E compared with odds
of D among non-E
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Analytic Cross-sectional Studies (3)
• Advantages: Quick, inexpensive, useful, suitable when E cannot change
• Disadvantages:– No measures of incidence – Survivor effect – Unsuitable for rare E, rare D, and D
with short duration– Temporal E-D uncertainty
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Basic Concepts of Bias
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AccuracyLack of Error
/ \Validity Precision
Lack of Lack ofsystematic random error (bias) error (chance)
- Function of - Function ofstudy sampling
methodology variation
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Bias
• Bias = Systematic error that results in a distortion of the E-D association
• Validity = lack of bias• Validity is a function of study
methodology
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Bias = Inaccurate Results Due to:
• Manner in which study subjects are selected - Selection bias
• Manner in which necessary information is collected or coded (classified)
- Information (misclassification) bias
• Admixture of effect - effect of E on D ismixed up with effects of other variables
- Confounding
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D
E
EE
E
DDD
Selection Bias
Problem with whogets into the study
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DD
E
E
Information Bias
Problem with how information is collected or coded (classified)
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E D
F
Confounding Problem with a Third Factor (F)
- F must be associated with E
- F must be associated with D even in unexposed
- F must not be intermediate between E and D
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E D
F
Confounding
DD
E
E
Information Bias
EE
E
D DD
Selection Bias
D
E
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Ways to Minimize Selection Bias
• Cohort- Select persons on basis of E
independent of D- Strive for complete follow-up
• Case-control- Select persons on basis of D
independent of E
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Ways to Minimize Information Bias
• Obtain and classify all information as correctly as possible
• Obtain and classify information on E and D independently
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Ways to Minimize Confounding
• Randomization• Restriction• Matching (partial restriction) • Stratification• Statistical modeling*Note: Be sure to collect needed information on covariables
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Summary (1)
• Key concepts
- Definition of epidemiology
- Process of epidemiologic research
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Summary (2)• Types of study designs
– Descriptive• Case reports and case series• Descriptive incidence studies • Descriptive prevalence studies• Ecologic (correlational) studies
– Analytic• Experimental• Observational
– Cohort– Case-control – Cross-sectional
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Summary (3)
• Additional epidemiologic concepts– Bias or systematic error
•Selection bias•Information bias •Confounding
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Study Design - Concluding Remarks
• Different ways to organize designs• What design should I select? • It depends! • Must consider:
– Objectives of study– Current knowledge about E-D– Ethical issues– Time, money, human resources
• Flexibility and creativity are KEY!
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The End