Designed extension of survival studies: Application to clinical trials with unrecognized heterogeneity

Yi Li, Mei Chiung Shih, Rebecca A. Betensky

Research output: Contribution to journalArticlepeer-review

Abstract

It is well known that unrecognized heterogeneity among patients, such as is conferred by genetic subtype, can undermine the power of a randomized trial, designed under the assumption of homogeneity, to detect a truly beneficial treatment. We consider the conditional power approach to allow for recovery of power under unexplained heterogeneity. While Proschan and Hunsberger (1995) confined the application of conditional power design to normally distributed observations, we consider more general and difficult settings in which the data are in the framework of continuous time and are subject to censoring. In particular, we derive a procedure appropriate for the analysis of the weighted log rank test under the assumption of a proportional hazards frailty model. The proposed method is illustrated through application to a brain tumor trial.

Original languageEnglish (US)
Pages (from-to)1567-1589
Number of pages23
JournalStatistica Sinica
Volume17
Issue number4
StatePublished - Oct 2007

Keywords

  • Adaptive design
  • Conditional power
  • Frailty model

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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