ARCS Presentation 2015
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Transcript of ARCS Presentation 2015
About me• Education:
• BSc (Med Lab Sci)• PhD (Pharmacology)• MSc (Statistics)
• Career: (>10 years) • Statistician, Project Management, Laboratory Management,
Diagnostic Laboratory Scientist, R&D Scientist• Novotech (2 years)
• Statistical lead and statistical programmer on over 30 studies
Disclaimer• This presentation represents my
thoughts and perspectives, based on my experience.
• Perspectives are based on working for a CRO with a small-scale statistics team and may not be representative of other CROs, nor pharmaceutical companies.
Hot Topic
Agenda
• How does the statistician fit into a clinical study team?• How does the statistician contribute during each of the study stages?• How can an organisation get added-value from statisticians?
Study Team
Project Manager Sponsor Medical
Monitor
Site Staff CRAsData Manager
StatisticianMedical Writer
Quality Assurance
Regulatory Associate
CTAs
Business Development
Human Resources
Study Stages
Plan
ning
Star
t-Up
Mai
nten
ance
Inte
rim A
naly
ses &
Data
Mon
itorin
g
Com
mitt
ees
End
of S
tudy
&
Repo
rting
• Advise on study designs• Statistical approach• Endpoints• Schedule of events
• Sample size and power calculations
Planning
Bioequivalence • High Variable Drugs• Bayesian statistics• Pharmacodynamic endpoints• Clinical endpoints
Start-Up• Protocol writing/review• Randomisation• Case Report Form (CRF) review• Consistency Check Specifications (CSS)
review
RandomizationStatic: Assigns treatment in a sequence established prior to any patients entering the study.
Dynamic: Generates random treatment assignments based on the stratification levels of the patients that have entered the trial as well as the patient entering the study.
Maintenance• Statistical Analysis Plan (SAP)• Mocks/Shells• SAS programming of Listing, Table
and Figure (TLFs, LTFs, LTGs, TLGs)
Risk Based Monitoring• Driven by “key risk indicators”• Review of statistical data over the course of the trial• Very broad range of metrics to be monitored• May involve complex modelling to estimate overall
risk and unveil data patterns• Ownership and responsibilities?
Data Monitoring Committees and Interim Analyses
• Includes: FDA safety reports, SRCs, DSMBs, IAs ……
• Varying purposes: Safety, efficacy, dose selection, sample size re-estimation, futility
• Responsibilities:• Organising provision of study output• Committee member• Statistical risk assessments
SAS ProgrammingCTMS
eDC
Randomisation
Safety Laboratory
PK/Immunogenicity
PD
Other….
SAS Dataset Library
Derived Datasets
Listings
Tables
Figures
CDISC Datasets
Transport Datasets
CDISC• Clinical data standards for submission of databases
and supporting documentation to regulatory bodies• To become mandatory in the next few years.• Primary responsibilities statisticians &
programmers• Entirely new work processes• Entirely new skillset• Significant affects on timelines, budgets & resources
REPORTING• Statistical Analysis Report• Clinical Study Report
• In-text tables• Section 14 (Tables & Figures)• Section 16 (Appendices – Listings)
• Manuscripts, conference abstracts, presentations
Getting the most out of your statistician/programmers
• Data Management Programmingo Data transposition for easier reviewo Identify protocol deviations and eligibility
violationso Complex data review
• Comparing old and refreshed data• Merging data from several sources• Reconcile CRF data with external vendor data
(e.g. laboratory results, randomisation data, PK data)
• Cross-study analyses• Combine/compare similar studies• Site performance
• Organisational statistics• Training
Getting the most out of your statistician/programmers
Thank YouElisa YoungBiostatisticianNovotech Pty [email protected]