Mathematical programming tools for randomization purposes in small two‐arm clinical trials: A case study with real data

Modern randomization methods in clinical trials are invariably adaptive, meaning that the assignment of the next subject to a treatment group uses the accumulated information in the trial. Some of the recent adaptive randomization methods use mathematical programming to construct attractive clinical...

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Veröffentlicht in:	Pharmaceutical statistics : the journal of the pharmaceutical industry Jg. 23; H. 6; S. 794 - 812
Hauptverfasser:	Vazquez, Alan R., Wong, Weng‐Kee
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Chichester, UK John Wiley & Sons, Inc 01.11.2024 Wiley Subscription Services, Inc
Schlagworte:	Adaptive Clinical Trials as Topic Clinical trials covariate‐adaptive trial energy distance Humans Main Paper Mathematical programming minimization method Models, Statistical prior information Random Allocation Randomized Controlled Trials as Topic - methods Randomized Controlled Trials as Topic - statistics & numerical data Research Design - statistics & numerical data Sample Size minimization method energy distance prior information covariate‐adaptive trial
ISSN:	1539-1604, 1539-1612, 1539-1612
Online-Zugang:	Volltext
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