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Multi-arm trials with multiple primary endpoints and missing values

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Mario Hasler
  • Ludwig A. Hothorn

Organisationseinheiten

Externe Organisationen

  • Christian-Albrechts-Universität zu Kiel (CAU)

Details

OriginalspracheEnglisch
Seiten (von - bis)710-721
Seitenumfang12
FachzeitschriftStatistics in medicine
Jahrgang37
Ausgabenummer5
PublikationsstatusVeröffentlicht - 5 Feb. 2018

Abstract

We present an extension of multiple contrast tests for multiple endpoints to the case of missing values. The endpoints are assumed to be normally distributed and correlated and to have equal covariance matrices for the different treatments. Different multivariate t distributions will be applied, differing in endpoint-specific degrees of freedom. In contrast to competing methods, the familywise error type I is maintained in the strong sense in an admissible range, and the problem of different marginal errors type I is avoided. The information of all observations is exploited, thereby enabling a gain in power compared with a complete case analysis.

ASJC Scopus Sachgebiete

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Multi-arm trials with multiple primary endpoints and missing values. / Hasler, Mario; Hothorn, Ludwig A.
in: Statistics in medicine, Jahrgang 37, Nr. 5, 05.02.2018, S. 710-721.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Hasler M, Hothorn LA. Multi-arm trials with multiple primary endpoints and missing values. Statistics in medicine. 2018 Feb 5;37(5):710-721. doi: 10.1002/sim.7542
Hasler, Mario ; Hothorn, Ludwig A. / Multi-arm trials with multiple primary endpoints and missing values. in: Statistics in medicine. 2018 ; Jahrgang 37, Nr. 5. S. 710-721.
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