Nonparametric Survival Analysis

Yuliya Lokhnygina ()
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Yuliya Lokhnygina: Duke University, Department of Biostatistics and Bioinformatics

Chapter 88 in Principles and Practice of Clinical Trials, 2022, pp 1717-1742 from Springer

Abstract: Abstract Survival or time-to-event data are ubiquitous in clinical trials research. The presence of censoring requires specialized methods for the analysis of this type of data. This chapter describes the methods for nonparametric analyses of survival data, including estimation of the key survival quantities of interest and hypothesis testing.

Keywords: Survival; Time to event; Censoring; Kaplan-Meier; Logrank (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-52636-2_119

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DOI: 10.1007/978-3-319-52636-2_119

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