Wild bootstrap logrank tests with broader power functions for testing superiority

Marc Ditzhaus and Markus Pauly

Computational Statistics & Data Analysis, 2019, vol. 136, issue C, 1-11

Abstract: A novel wild bootstrap procedure is introduced for testing superiority in unpaired two-sample survival data. Combining classical weighted logrank tests yields a procedure with broader power behavior. Right censoring within the data is allowed and may differ between the groups. The tests are shown to be asymptotically exact under the null, consistent for fixed alternatives and admissible for a larger set of local alternatives. Beside these asymptotic properties, the procedures’ strengths are also illustrated in simulations for finite sample sizes. The tests are implemented in the novel R-package mdir.logrank and its application is demonstrated in an empirical example.

Keywords: Right censoring; Weighted logrank test; Local alternatives; Ordered alternatives; Two-sample survival model; Wild bootstrap (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:136:y:2019:i:c:p:1-11

DOI: 10.1016/j.csda.2019.02.001

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