Generalized Log‐Rank Tests for Interval‐Censored Failure Time Data

Jianguo Sun, Qiang Zhao and Xingqiu Zhao

Scandinavian Journal of Statistics, 2005, vol. 32, issue 1, 49-57

Abstract: Abstract. Several non‐parametric test procedures have been proposed for incomplete survival data: interval‐censored failure time data. However, most of them have unknown asymptotic properties with heuristically derived and/or complicated variance estimation. This article presents a class of generalized log‐rank tests for this type of survival data and establishes their asymptotics. The methods are evaluated using simulation studies and illustrated by a set of real data from a cancer study.

Date: 2005
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https://doi.org/10.1111/j.1467-9469.2005.00414.x

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Persistent link: https://EconPapers.repec.org/RePEc:bla:scjsta:v:32:y:2005:i:1:p:49-57

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