The probability of being in response function and its applications

Wei Yann Tsai, Xiaodong Luo, John Crowley

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

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]) prosed 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.

Original languageEnglish
Title of host publicationFrontiers of Biostatistical Methods and Applications in Clinical Oncology
PublisherSpringer Singapore
Pages151-164
Number of pages14
ISBN (Electronic)9789811001260
ISBN (Print)9789811001246
DOIs
StatePublished - 3 Oct 2017
Externally publishedYes

Keywords

  • Nonparametric estimation
  • Probability of being in response function

Fingerprint

Dive into the research topics of 'The probability of being in response function and its applications'. Together they form a unique fingerprint.

Cite this