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A class of rank-based test for left-truncated and right-censored data

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Abstract

A class of rank-based tests is proposed for the two-sample problem with left-truncated and right-censored data. The class contains as special cases the extension of log-rank test and Gehan test. The asymptotic distribution theory of the test is presented. The small-sample performance of the test is investigated under a variety of situations by means of Mone Carlo simulations.

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Correspondence to Pao-sheng Shen.

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Shen, Ps. A class of rank-based test for left-truncated and right-censored data. Ann Inst Stat Math 61, 461–476 (2009). https://doi.org/10.1007/s10463-007-0151-3

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  • DOI: https://doi.org/10.1007/s10463-007-0151-3

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