Wild bootstrap logrank tests with broader power functions for testing superiority

被引：11

作者：

Ditzhaus, Marc ^{[1
]}

Pauly, Markus ^{[1
]}

机构：

[1] Ulm Univ, Inst Stat, Helmholtzstr 20, D-89081 Ulm, Germany

来源：

COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2019年 / 136卷

关键词：

Right censoring; Weighted logrank test; Local alternatives; Ordered alternatives; Two-sample survival model; Wild bootstrap; PERMUTATION TESTS; RANK-TESTS; LOG-RANK; INFERENCE;

D O I：

10.1016/j.csda.2019.02.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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. (C) 2019 Elsevier B.V. All rights reserved.

引用

页码：1 / 11

页数：11