A Class of Efficient Non‐parametric K‐sample Tests for Multivariate Counting Processes with Frailties

I‐Shou Chang, Li‐Ru Chen and Chao Hsiung

Scandinavian Journal of Statistics, 1998, vol. 25, issue 1, 127-141

Abstract: AK‐sample testing problem is studied for multivariate counting processes with time‐dependent frailty. Asymptotic distributions and efficiency of a class of non‐parametric test statistics are established for certain local alternatives. The concept of efficiency is to show that for every non‐parametric test in this class, there is a parametric submodel for which the optimal test has the same asymptotic power as the non‐parametric one. The theory is applied to analyse a diabetic retinopathy study data set. A simulation study is also presented to illustrate the theory

Date: 1998
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Persistent link: https://EconPapers.repec.org/RePEc:bla:scjsta:v:25:y:1998:i:1:p:127-141

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