ArticleBiometrics2022
Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach.
Article in Biometrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Joint Modeling of Longitudinal and Survival Data in Public Health and Biomedical Research: A Systematic Review.International journal of environmental research and public health · 2026Pooled it
- Immunomodulation and endothelial barrier protection mediate the association between oral imatinib and mortality in hospitalised COVID-19 patients.The European respiratory journal · 2022Trial
- Joint Analysis for Multivariate Longitudinal and Event Time Data With a Change Point Anchored at Interval-Censored Event Time.Statistics in medicine · 2026Article
- Mediation analysis in longitudinal intervention studies with an ordinal treatment-dependent confounder.Statistical methods in medical research · 2026Article
- Validation of a Longitudinal Marker as a Surrogate Using Mediation Analysis and Joint Modeling: Evolution of the PSA as a Surrogate of the Disease-Free Survival.Biometrical journal. Biometrische Zeitschrift · 2025Article
- Robust evaluation of longitudinal surrogate markers with censored data.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2025Article
- High-dimensional mediation analysis for longitudinal mediators and survival outcomes.Briefings in bioinformatics · 2025Article
- Baseline and Longitudinal Neutrophil-to-Lymphocyte Ratio as Prognostic Factor for Metastatic Colorectal Cancer: A Secondary Analysis of the ITACa Randomized Trial.JCO precision oncology · 2024Article
- Exploring causal mechanisms and quantifying direct and indirect effects using a joint modeling approach for recurrent and terminal events.Statistics in medicine · 2023Article
- Modeling the underlying biological processes in Alzheimer's disease using a multivariate competing risk joint model.Statistics in medicine · 2022Article
- Mediation analysis for survival data with high-dimensional mediators.Bioinformatics (Oxford, England) · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Longitudinal biomarkers are widely used in biomedical and translational researches to monitor the progressions of diseases. Methods have been proposed to jointly model longitudinal data and survival data, but its causal mechanism is yet to be investigated rigorously. Understanding how much of the total treatment effect is through the biomarker is important in understanding the treatment mechanism and evaluating the biomarker. In this work, we propose a causal mediation analysis method to compute the direct and indirect effects, when a joint modeling approach is used to take the longitudinal biomarker as the mediator and the survival endpoint as the outcome. Such a joint modeling approach allows us to relax the commonly used "sequential ignorability" assumption. We demonstrate how to evaluate longitudinally measured biomarkers using our method with two case studies, an AIDS study and a liver cirrhosis study.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.