The Challenge of Time‐to‐Event Analysis for Multiple Events: A Guided Tour From Time‐to‐First‐Event to Recurrent Time‐to‐Event Analysis
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Le résumé fourni par la source
Clinical trials often compare a treatment to a control group concerning multiple possible combined time-to-event endpoints like hospital-free survival. Thereby, the first endpoint may occur more than once ("recurrent"), whereas the second endpoint is absorbing. Inclusion of all observed events in the analysis can increase the power and provide a more complete picture of the disease but it needs more sophisticated methodology. We give a stepwise guidance on how to extend the simple time-to-first event model to complex multistate methodology, where multiple events are incorporated. We thereby consider non- and semiparametric methods and show how they are related. Special attention is given to the prerequisites of the models, for example, the Markov property, and their interpretation. Due to novel results in non-Markov models, the summary measurements: state occupation probability, mean number of hospitalizations, and average length of stay allow an easy interpretation of a treatment effect in non-Markov models if the censoring is random. Partly conditional transition rates can be estimated instead of hazards. We investigate the difference between partly conditional transition rates and hazards and the impact of the random censoring condition in a simulation study. Furthermore, the simulation study considers the sensitivity of a Markov test. Different estimators are introduced, and their use is explained based on data from the randomized controlled Interdisciplinary Network Heart Failure trial, which investigated the effects of a nurse-coordinated disease management program. The aim is to give an overview of existing methods, present the assumptions, and elaborate on the differences in interpretation.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- The Challenge of Time‐to‐Event Analysis for Multiple Events: A Guided Tour From Time‐to‐First‐Event to Recurrent Time‐to‐Event Analysis
- Date Crossref
- 28/01/2026
- Éditeur
- Wiley
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Universitätsklinikum Würzburg pays non établi dans la noticeÉtablissement de santé
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Universität Hamburg pays non établi dans la noticeUniversité ou école supérieure
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University Medical Center Hamburg-Eppendorf pays non établi dans la noticeÉtablissement de santé
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Institute of Statistics Ulm University Ulm Germany pays non établi dans la noticeUniversité ou école supérieure
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Comprehensive Heart Failure Centre University and University Hospital Würzburg Würzburg Germany pays non établi dans la noticeUniversité ou école supérieure
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Department of Internal Medicine I University Hospital Würzburg Würzburg Germany pays non établi dans la noticeUniversité ou école supérieure
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Institute of Medical Biometry and Epidemiology University Medical Center Hamburg‐Eppendorf Hamburg Germany pays non établi dans la noticeUniversité ou école supérieure
Universitätsklinikum Würzburg, Universität Hamburg et University Medical Center Hamburg-Eppendorf, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.