A regression tree approach to identifying subgroups with differential treatment effects

In the fight against hard‐to‐treat diseases such as cancer, it is often difficult to discover new treatments that benefit all subjects. For regulatory agency approval, it is more practical to identify subgroups of subjects for whom the treatment has an enhanced effect. Regression trees are natural f...

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Veröffentlicht in:	Statistics in medicine Jg. 34; H. 11; S. 1818 - 1833
Hauptverfasser:	Loh, Wei-Yin, He, Xu, Man, Michael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Blackwell Publishing Ltd 20.05.2015 Wiley Subscription Services, Inc
Schlagworte:	Algorithms bootstrap Chi-Square Distribution Confidence Intervals Humans Medical statistics Medical treatment missing values Models, Statistical Neoplasms - therapy Poisson Distribution proportional hazards Randomized Controlled Trials as Topic Regression Analysis Selection Bias selection bias bootstrap proportional hazards missing values
ISSN:	0277-6715, 1097-0258, 1097-0258
Online-Zugang:	Volltext
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