The Probability of Being in Response Function and Its Applications

Wei Yann Tsai (), Xiaodong Luo () and John Crowley ()
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Wei Yann Tsai: Columbia University, Department of Biostatistics
Xiaodong Luo: Sanofi, Research and Development
John Crowley: Cancer Research and Biostatistics

A chapter in Frontiers of Biostatistical Methods and Applications in Clinical Oncology, 2017, pp 151-164 from Springer

Abstract: Abstract Cancer clinical trials usually have two or more types of related clinical events (i.e. response, progression and relapse). Hence, to compare treatments, efficacy is often measured using composite endpoints. Temkin (Biometrics 34: 571–580, [18]) proposed the probability of being in response as a function of time (PBRF) to analyze composite endpoints. The PBRF is a measure which considers the response rate and the duration of response jointly. In this article, we develop, study and propose estimators of PBRF based on multi-state survival data.

Keywords: Probability of being in response function; Nonparametric estimation (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-10-0126-0_10

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DOI: 10.1007/978-981-10-0126-0_10

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