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SUMMARY:Response-adaptive randomization in clinical trials: from myths to 
 practical considerations - Sofía Villar and David Robertson (MRC Biostati
 stics Unit\, Cambridge)
DTSTART:20240126T140000Z
DTEND:20240126T150000Z
UID:TALK209542@talks.cam.ac.uk
CONTACT:Dr Sergio Bacallado
DESCRIPTION:Response-Adaptive Randomization (RAR) is part of a wider class
  of data-dependent sampling algorithms\, for which clinical trials are typ
 ically used as a motivating application. In that context\, patient allocat
 ion to treatments is determined by randomization probabilities that change
  based on the accrued response data in order to achieve experimental goals
 . RAR has received abundant theoretical attention from the biostatistical 
 literature since the 1930’s and has been the subject of numerous debates
 . In the last decade\, it has received renewed consideration from the appl
 ied and methodological communities\, driven by well-known practical exampl
 es and its widespread use in machine learning. Papers on the subject prese
 nt different views on its usefulness\, and these are not easy to reconcile
 . This work aims to address this gap by providing a unified\, broad and fr
 esh review of methodological and practical issues to consider when debatin
 g the use of RAR in clinical trials.
LOCATION:MR12\, Centre for Mathematical Sciences
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