Methods for Analyzing Multiple Time-to-Event Endpoints in Randomized Clinical Trials: A Comprehensive Overview

Introduction: In clinical trials, time-to-event analyses are essential for evaluating treatment efficacy and understanding patient outcomes. Traditional methods such as the Cox proportional hazards model or Kaplan-Meier estimation typically focus on time-to-first events. However, this approach may overlook [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/10.3205/25gmds079
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
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article

Methods for Analyzing Multiple Time-to-Event Endpoints in Randomized Clinical Trials: A Comprehensive Overview

German Medical Science (German Research Foundation)
Statistical Methods in Clinical Trials
article

Methods for Analyzing Multiple Time-to-Event Endpoints in Randomized Clinical Trials: A Comprehensive Overview

article en

Abstract

Introduction: In clinical trials, time-to-event analyses are essential for evaluating treatment efficacy and understanding patient outcomes. Traditional methods such as the Cox proportional hazards model or Kaplan-Meier estimation typically focus on time-to-first events. However, this approach may overlook [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Universität Hamburg (DE), Zimmer Biomet (Germany) (DE), University Medical Center Hamburg-Eppendorf (DE)
Openalex Percentile: Top 36%
Statistical Methods in Clinical Trials
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