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

DOI10.1002/BIMJ.201900347zbMath1523.62211arXiv1912.00263OpenAlexW3097822318WikidataQ101218498 ScholiaQ101218498MaRDI QIDQ6091730

Unnamed Author, Tim Friede, Valentine Jehl, Jan Beyersmann, Unnamed Author, Kaspar Rufibach, Claudia Schmoor

Publication date: 27 November 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1912.00263

zbMATH Keywords

clinical trialscumulative incidence functiondrug safetymeta-regressionrisk-benefit assessment

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Survival and event history analysis. A process point of view
• Modeling survival data: extending the Cox model
• Modeling marginal features in studies of recurrent events in the presence of a terminal event
• A survey of product-integration with a view toward application in survival analysis
• On Inference in Parametric Survival Data Models
• Asymptotic Statistics
• Statistical models based on counting processes
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