ArticleStatistics in medicine2019
Mediation analysis of time-to-event endpoints accounting for repeatedly measured mediators subject to time-varying confounding.
Article in Statistics in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Potential Mediators of Efpeglenatide's Cardiovascular Benefit: An Exploratory Analysis of the AMPLITUDE-O Trial.Diabetes, obesity & metabolism · 2026Trial
- Effect of Semaglutide on Regression and Progression of Glycemia in People With Overweight or Obesity but Without Diabetes in the SELECT Trial.Diabetes care · 2024 · on this mapTrial
- Article
- A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study.Biostatistics (Oxford, England) · 2025Article
- Spirometry to manage asthma in children: study protocol for a randomised controlled trial (SPIROMAC).Trials · 2025Article
- High-dimensional mediation analysis for longitudinal mediators and survival outcomes.Briefings in bioinformatics · 2025Article
- Practical challenges in mediation analysis: a guide for applied researchers.Health services & outcomes research methodology · 2025Article
- Longitudinal mediation analysis with multilevel and latent growth models: a separable effects causal approach.BMC medical research methodology · 2024Article
- Causal inference with recurrent and competing events.Lifetime data analysis · 2024Article
- Estimation of separable direct and indirect effects in a continuous-time illness-death model.Lifetime data analysis · 2024Article
- DEFINING AND ESTIMATING PRINCIPAL STRATUM SPECIFIC NATURAL MEDIATION EFFECTS WITH SEMI-COMPETING RISKS DATA.Statistica Sinica · 2023Article
- Exploring causal mechanisms and quantifying direct and indirect effects using a joint modeling approach for recurrent and terminal events.Statistics in medicine · 2023Article
- A Causal Mediation Model for Longitudinal Mediators and Survival Outcomes with an Application to Animal Behavior.Journal of agricultural, biological, and environmental statistics · 2023Article
- Early life adversity and adult social relationships have independent effects on survival in a wild primate.Science advances · 2023Article
- Mediation of the total effect of cystic fibrosis-related diabetes on mortality: A UK Cystic Fibrosis Registry cohort study.Diabetic medicine : a journal of the British Diabetic Association · 2022Article
- Sex-differential non-specific effects of adjuvanted and non-adjuvanted rabies vaccines versus placebo on all-cause mortality in dogs (NERVE-Dog study): a study protocol for a randomized controlled trial with a nested case-control study.BMC veterinary research · 2022Article
- Methods of analysis for survival outcomes with time-updated mediators, with application to longitudinal disease registry data.Statistical methods in medical research · 2022Article
- Modeling the underlying biological processes in Alzheimer's disease using a multivariate competing risk joint model.Statistics in medicine · 2022Article
- Perfluoroalkyl Substances and Incident Natural Menopause in Midlife Women: The Mediating Role of Sex Hormones.American journal of epidemiology · 2022Article
- Counterfactual mediation analysis in the multistate model framework for surrogate and clinical time-to-event outcomes in randomized controlled trials.Pharmaceutical statistics · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
In this article, we will present statistical methods to assess to what extent the effect of a randomised treatment (versus control) on a time-to-event endpoint might be explained by the effect of treatment on a mediator of interest, a variable that is measured longitudinally at planned visits throughout the trial. In particular, we will show how to identify and infer the path-specific effect of treatment on the event time via the repeatedly measured mediator levels. The considered proposal addresses complications due to patients dying before the mediator is assessed, due to the mediator being repeatedly measured, and due to posttreatment confounding of the effect of the mediator by other mediators. We illustrate the method by an application to data from the LEADER cardiovascular outcomes trial.
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