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Generalized log-rank tests for partly interval-censored failure time data
Authors:Zhao Xingqiu  Zhao Qiang  Sun Jainguo  Kim Jong S
Affiliation:Department of Mathematics and Statistics, McMaster University, 1280 Main Street West Hamilton, Ontario L8S 4K1, Canada. zhaox7@math.mcmaster.ca
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.
Keywords:Asymptotic distribution  Empirical process  Log‐rank test  Partial interval‐censoring  Survival comparison
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