Autor(en): | Ditzhaus, Marc Genuneit, Jon Janssen, Arnold Pauly, Markus |
Titel: | CASANOVA: permutation inference in factorial survival designs |
Sprache (ISO): | en |
Zusammenfassung: | 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. |
Schlagwörter: | 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 |
Erscheinungsdatum: | 2021-10-05 |
Rechte (Link): | https://creativecommons.org/licenses/by/4.0/ |
Enthalten in den Sammlungen: | Institut für Mathematische Statistik und industrielle Anwendungen |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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Biometrics - 2021 - Ditzhaus - CASANOVA Permutation inference in factorial survival designs.pdf | 3.21 MB | Adobe PDF | Öffnen/Anzeigen |
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