Survival analysis for AdVerse events with VarYing follow‐up times (SAVVY): rationale and statistical concept of a meta‐analytic study

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Abstract: The assessment of safety is an important aspect of the evaluation of new therapies in clinical trials, with analyses of adverse events being an essential part of this. Standard methods for the analysis of adverse events such as the incidence proportion, that is the number of patients with a specific adverse event out of all patients in the treatment groups, do not account for both varying follow‐up times and competing risks. Alternative approaches such as the Aalen–Johansen estimator of the cumulative incidence function have been suggested. Theoretical arguments and numerical evaluations support the application of these more advanced methodology, but as yet there is to our knowledge only insufficient empirical evidence whether these methods would lead to different conclusions in safety evaluations. The Survival analysis for AdVerse events with VarYing follow‐up times (SAVVY) project strives to close this gap in evidence by conducting a meta‐analytical study to assess the impact of the methodology on the conclusion of the safety assessment empirically. Here we present the rationale and statistical concept of the empirical study conducted as part of the SAVVY project. The statistical methods are presented in unified notation, and examples of their implementation in R and SAS are provided

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Biometrical journal. - 63, 3 (2021) , 650-670, ISSN: 1521-4036

Event: Veröffentlichung

(where): Freiburg

(who): Universität

(when): 2020

Creator: Stegherr, Regina
Beyersmann, Jan
Jehl, Valentine
Rufibach, Kaspar
Leverkus, Friedhelm
Schmoor, Claudia
Friede, Tim

DOI: 10.1002/bimj.201900347

URN: urn:nbn:de:bsz:25-freidok-1694318

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:54 AM CEST

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Associated

Stegherr, Regina
Beyersmann, Jan
Jehl, Valentine
Rufibach, Kaspar
Leverkus, Friedhelm
Schmoor, Claudia
Friede, Tim
Universität

Time of origin

2020

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