Generalized log-rank tests for partly interval-censored failure time data

Xingqiu Zhao; Qiang Zhao; Jainguo Sun; Jong S. Kim

doi:10.1002/bimj.200710419

Generalized log-rank tests for partly interval-censored failure time data

Xingqiu Zhao, Qiang Zhao, Jainguo Sun, Jong S. Kim

Research output: Journal article publication › Journal article › Academic research › peer-review

41 Citations (Scopus)

Abstract

In this paper, we consider incomplete survival data: partly interval-censored failure time data where observed data include both exact and interval-censored observations on the survival time of interest. We present a class of generalized log-rank tests for this type of survival data and establish their asymptotic properties. The method is evaluated using simulation studies and illustrated by a set of real data from a diabetes study. KGaA.

Original language	English
Pages (from-to)	375-385
Number of pages	11
Journal	Biometrical Journal
Volume	50
Issue number	3
DOIs	https://doi.org/10.1002/bimj.200710419
Publication status	Published - 1 Jun 2008
Externally published	Yes

Keywords

Asymptotic distribution
Empirical process
Log-rank test
Partial interval-censoring
Survival comparison

ASJC Scopus subject areas

Statistics and Probability
General Medicine
Statistics, Probability and Uncertainty

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/bimj.200710419

Cite this

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Generalized log-rank tests for partly interval-censored failure time data

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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