Authors: | Ditzhaus, Marc Genuneit, Jon Janssen, Arnold Pauly, Markus |
Title: | CASANOVA: permutation inference in factorial survival designs |
Language (ISO): | en |
Abstract: | We propose inference procedures for general factorial designs with time-to-event endpoints. Similar to additive Aalen models, null hypotheses are formulated in terms of cumulative hazards. Deviations are measured in terms of quadratic forms in Nelson–Aalen-type integrals. Different from existing approaches, this allows to work without restrictive model assumptions as proportional hazards. In particular, crossing survival or hazard curves can be detected without a significant loss of power. For a distribution-free application of the method, a permutation strategy is suggested. The resulting procedures' asymptotic validity is proven and small sample performances are analyzed in extensive simulations. The analysis of a data set on asthma illustrates the applicability. |
Subject Headings: | Additive Aalen model Factorial designs Local alternatives Oncology Right censoring |
URI: | http://hdl.handle.net/2003/41339 http://dx.doi.org/10.17877/DE290R-23182 |
Issue Date: | 2021-10-05 |
Rights link: | https://creativecommons.org/licenses/by/4.0/ |
Appears in Collections: | Institut für Mathematische Statistik und industrielle Anwendungen |
Files in This Item:
File | Description | Size | Format | |
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Biometrics - 2021 - Ditzhaus - CASANOVA Permutation inference in factorial survival designs.pdf | 3.21 MB | Adobe PDF | View/Open |
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