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Adaptive designs for confirmatory clinical trials with subgroup selection
Nigel Stallard1, Thomas Hamborg, Nicholas Parsons
1a Warwick Medical School , University of Warwick , Coventry , United Kingdom.
Journal of Biopharmaceutical Statistics
|January 8, 2014
Summary
This study explores adaptive clinical trial methods for stratified medicine, enabling early identification of treatment effectiveness in specific patient subgroups. These adaptive approaches can optimize recruitment and assess treatment efficacy in predefined groups or the entire population.
Area of Science:
- Clinical Trials Methodology
- Biostatistics
- Pharmacogenomics
Background:
- Stratified medicine necessitates robust subgroup analyses in clinical trials.
- Traditional trials either predefine subgroups or analyze them post-hoc.
- There's a need for adaptive designs to dynamically evaluate subgroup treatment effects.
Purpose of the Study:
- To present and compare methodologies for adaptive clinical trials.
- To identify treatments effective in predefined subgroups.
- To assess treatment effectiveness in subgroups and/or the overall population during a trial.
Main Methods:
- Description of adaptive clinical trial designs.
- Comparison of different adaptive methodologies.
- Discussion of methods for subgroup identification and effectiveness assessment.
Main Results:
- Adaptive trials can identify specific patient subgroups benefiting from a treatment.
- These methods allow for dynamic recruitment adjustments.
- Effectiveness can be evaluated in both subgroups and the general population.
Conclusions:
- Adaptive clinical trials offer a flexible framework for stratified medicine.
- Methodologies discussed can enhance the efficiency and precision of subgroup analyses.
- Logistical and regulatory considerations for adaptive trials are crucial for implementation.
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