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A k-sample test with interval censored data



A k-sample test with interval censored data



Biometrika 93(2): 315-328



The problem of testing for the equality of k distribution functions under Case 2 interval censoring is studied and a supremum-type test statistic is proposed based on the differences between the nonparametric maximum likelihood estimator and the so-called leveraged bootstrap estimator of the k underlying distributions. The proposed test is distributionfree and consistent against all alternatives.

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Accession: 011687276

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DOI: 10.2307/20441284


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