A Parametric Copula Model for Semi-Competing Risks Data with Recurrent Events

Introduction: In cohort studies, the time to a particular non-terminal event, such as disease onset, occurrence of infection or hospitalization, is often of main interest. For proper modeling, death as a competing risk should be accounted for. Especially, the “semi-competing” character [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds081
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
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article

A Parametric Copula Model for Semi-Competing Risks Data with Recurrent Events

German Medical Science (German Research Foundation)
Statistical Methods and Inference
article

A Parametric Copula Model for Semi-Competing Risks Data with Recurrent Events

article en

Abstract

Introduction: In cohort studies, the time to a particular non-terminal event, such as disease onset, occurrence of infection or hospitalization, is often of main interest. For proper modeling, death as a competing risk should be accounted for. Especially, the “semi-competing” character [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Bielefeld University (DE), Deutsches Diabetes-Zentrum e.V. (DE), Heinrich Heine University Düsseldorf (DE)
Openalex Percentile: Top 36%
Statistical Methods and Inference
DOIOpen Access PDFOpenAlex
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A Parametric Copula Model for Semi-Competing Risks Data with Recurrent Events · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS