2019
DOI: 10.1016/j.csda.2019.02.001
|View full text |Cite
|
Sign up to set email alerts
|

Wild bootstrap logrank tests with broader power functions for testing superiority

Abstract: We introduce novel wild bootstrap procedures for testing superiority in unpaired two-sample survival data. By combining different classical weighted logrank test we obtain tests 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 we also illustrate the procedures' strength … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 8 publications
(9 citation statements)
references
References 43 publications
0
9
0
Order By: Relevance
“…This class is long known and includes the LR as well as the common Peto-Peto test (PP). Recently, a flexible combination of several weighted LRs into one test procedure was proposed [ 16 18 ]. It is based upon a combination of alternatives and carried out as a permutation procedure.…”
Section: Methodsmentioning
confidence: 99%
“…This class is long known and includes the LR as well as the common Peto-Peto test (PP). Recently, a flexible combination of several weighted LRs into one test procedure was proposed [ 16 18 ]. It is based upon a combination of alternatives and carried out as a permutation procedure.…”
Section: Methodsmentioning
confidence: 99%
“…However, the weight needs to be calibrated to the typically unknown shape of the alternative and a wrong guess of the weight can lead to a very poor power perfor-mance. To address this tricky question of weight choice and to avoid blind guessing, Brendel et al (2014), Ditzhaus and Pauly (2019), and Ditzhaus and Friedrich (2020) followed a combination approach of different weighted log-rank tests for the two-sample scenario. We extended this approach to general factorial survival designs.…”
Section: Discussion and Outlookmentioning
confidence: 99%
“…Moreover, let 𝑤 𝑛1 , … , 𝑤 𝑛𝑘 be the corresponding integrands of the form (3) for the Nelson-Aalen-type integrals. To exclude redundant cases, as too similar or even equal weights, we follow Ditzhaus and Pauly (2019) and Ditzhaus and Friedrich (2020) and restrict to weights fulfilling the following.…”
Section: Combination Of Different Weightsmentioning
confidence: 99%
See 1 more Smart Citation
“…In case of non-proportional hazards, however, they are not always the most appropriate choice and several alternatives to logrank tests have been proposed. [1][2][3][4][5][6] In factorial survival designs, this issue is additionally hampered by the desire to summarize main treatment and interaction effects in single quantities. For hazard ratios as effect estimates, this can only be achieved under the proportional hazards assumption.…”
Section: Introductionmentioning
confidence: 99%