EMEA-EFPIA Workshop on Adaptive Designs in Confirmatory Clinical Trials London, December 14 , 2007
When is it appropriate to combine phases
Vlad Dragalin Statistical Research and Applications Global Biostatistics & Programming
When is it appropriate to combine phases Vlad Dragalin Statistical - - PowerPoint PPT Presentation
When is it appropriate to combine phases Vlad Dragalin Statistical Research and Applications Global Biostatistics & Programming EMEA-EFPIA Workshop on Adaptive Designs in London, December 14 , 2007 Confirmatory Clinical Trials Critical
EMEA-EFPIA Workshop on Adaptive Designs in Confirmatory Clinical Trials London, December 14 , 2007
Vlad Dragalin Statistical Research and Applications Global Biostatistics & Programming
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Calls for “New tools to get
effectiveness of new products can be demonstrated,
Seamless Phase II/III designs offer great potential for achieving these objectives
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Seamless design
separate trials (operationally seamless)
Adaptive Seamless design
data from patients enrolled before and after the adaptation (inferentially seamless)
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Traditional Phase II + Phase III trials A B C Placebo B Placebo
Data Analysis Planning Phase III
Development Timeline
Operationally Seamless Phase II/III trials A B C Placebo B Placebo Phase II Phase II End of Phase III End of Phase III Confirmatory Analysis
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Development Timeline
Inferentially Seamless Phase II/III trials A B C Placebo B Placebo Phase II End of Phase III Confirmatory Analysis Operationally Seamless Phase II/III trials A B C Placebo B Placebo Phase II End of Phase III Confirmatory Analysis
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the confirmation stage
patients
data should be combined in a way that
control
with correct coverage probability
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Development Timeline
D E Placebo Adaptive Seamless Phase II/III trials A B C
IA IA IA IA Dropped for toxicity Dropped for futility
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endpoint X, while confirmation stage uses a long-term (clinical) endpoint Y
decision making
selection of the target dose for Stage II
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Dose selected % Trials PhRMA ADRS WG White Paper JBS 2007, v 17(6)
Adaptive dose- ranging methods lead to:
to detect DR
select target dose, and
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Primary objective – combine “dose selection” and “confirmation” into one trial
enrollments (patients are generally not re-randomized)
followed
in the final analysis. Appropriate statistical methods must be used
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arms
same operational infrastructure
efficacious and safe doses
patient benefit
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challenging
seamless trial
‘learning’ stage
and/or perspective not usually represented on DMCs
impact the operational bias