Bayesian subgroup clustering in phase i clinical trials /

This case study discusses outcome-adaptive dose-finding trials in Phase I clinical trials, which aim to find the dose level among a set of doses that has a toxicity probability closest to a pre-set target by sequentially enrolling patients at different dose levels based on outcomes of previously tre...

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Bibliographic Details
Main Author:	Chapple, Andrew (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications Ltd., 2020.
Series:	SAGE Research Methods Cases : Medicine and Health.
Subjects:	Drugs > Administration > Case studies. Clinical trials > Statistical methods > Case studies. Médicaments > Administration > Études de cas. Études cliniques > Méthodes statistiques > Études de cas. Clinical trials > Statistical methods Drugs > Administration Case studies
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This case study discusses outcome-adaptive dose-finding trials in Phase I clinical trials, which aim to find the dose level among a set of doses that has a toxicity probability closest to a pre-set target by sequentially enrolling patients at different dose levels based on outcomes of previously treated patients. Rule-based and model-based approaches are discussed, including Bayesian methods, which incorporate clinician prior beliefs into patient dose assignment throughout the trial. An extension of this framework is discussed to perform subgroup-specific dose finding, including a clustering method that pools homogeneous subgroups together for better dose finding. This proposed method is compared with trials that ignore subgroups and trials that perform separate trials for each subgroup.
Physical Description:	1 online resource : illustrations.
Bibliography:	Includes bibliographical references and index.
ISBN:	9781529742657 152974265X