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.
Author supplied keywords
Cite
CITATION STYLE
Tsai, W. Y., Luo, X., & Crowley, J. (2017). The probability of being in response function and its applications. In Frontiers of Biostatistical Methods and Applications in Clinical Oncology (pp. 151–164). Springer Singapore. https://doi.org/10.1007/978-981-10-0126-0_10
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
