Related Experiment Video
Updated: Jul 26, 2025
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A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
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Response-adaptive randomization in clinical trials: from myths to practical considerations
David S Robertson1, Kim May Lee2, Boryana C López-Kolkovska3
1MRC Biostatistics Unit, University of Cambridge, Forvie Site, Robinson Way, Cambridge CB2 0SR, United Kingdom.
Statistical Science : a Review Journal of the Institute of Mathematical Statistics
|June 16, 2023
Summary
Response-Adaptive Randomization (RAR) adjusts patient allocation in clinical trials based on incoming data. This review unifies diverse views on RAR
Area of Science:
- Biostatistics
- Clinical Trial Design
- Machine Learning
Background:
- Response-Adaptive Randomization (RAR) is a data-dependent sampling method.
- It has a long history in biostatistics and clinical trials since the 1930s.
- RAR has seen renewed interest due to practical examples and machine learning applications.
Purpose of the Study:
- To provide a unified review of Response-Adaptive Randomization (RAR).
- To address the gap in reconciling differing views on RAR's usefulness.
- To discuss methodological and practical considerations for RAR in clinical trials.
Main Methods:
- Review of biostatistical and methodological literature on RAR.
- Synthesis of diverse perspectives on RAR's application in clinical trials.
- Exploration of practical and theoretical issues surrounding RAR.
Main Results:
- Identified a need for a unified perspective on RAR.
- Highlighted ongoing debates regarding RAR's utility and implementation.
- Synthesized various viewpoints on RAR's benefits and challenges.
Conclusions:
- RAR remains a topic of significant debate in clinical trial methodology.
- A comprehensive understanding of RAR's methodological and practical aspects is crucial.
- This review offers a fresh perspective to inform discussions on RAR's role in clinical research.
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