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Biometrics|July 20, 2019
A response-adaptive randomization procedure for multi-armed clinical trials with normally distributed outcomesS Faye Williamson, Sofía S VillarComputational Statistics & Data Analysis|June 21, 2017
A Bayesian adaptive design for clinical trials in rare diseasesS Faye Williamson, Peter Jacko, Sofía S Villar, et al.Probability in the Engineering and Informational Sciences|May 24, 2016
INDEXABILITY AND OPTIMAL INDEX POLICIES FOR A CLASS OF REINITIALISING RESTLESS BANDITSSofía S VillarProbability in the Engineering and Informational Sciences|March 10, 2018
Bandit strategies evaluated in the context of clinical trials in rare life-threatening diseasesSofía S VillarStatistical Methods in Medical Research|August 29, 2025
Implementing response-adaptive designs when responses are missing: Impute or ignore?Mia S Tackney, Sofía S VillarBiometrics|July 7, 2017
Covariate-adjusted response-adaptive randomization for multi-arm clinical trials using a modified forward looking Gittins index ruleSofía S Villar, William F RosenbergerJournal of Applied Statistics|March 20, 2018
Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpointsAdam L Smith, Sofía S VillarPharmaceutical Statistics|December 22, 2017
Response-adaptive designs for binary responses: How to offer patient benefit while being robust to time trends?Sofía S Villar, Jack Bowden, James WasonStatistical Science : a Review Journal of the Institute of Mathematical Statistics|May 10, 2016
Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and ChallengesSofía S Villar, Jack Bowden, James WasonBiometrics|August 29, 2025
Revisiting optimal allocations for binary responses: insights from considering type-I error rate controlLukas Pin, Sofía S Villar, William F RosenbergerPageof 4