ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2017
Causal Mediation Analysis for the Cox Proportional Hazards Model with a Smooth Baseline Hazard Estimator.
Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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
12 citing papers in PubMed.
- Rationale for incorporating short-term endpoints in interim futility analysis of phase 3 oncology trials: a simulation study.BMC medical research methodology · 2026Article
- Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome.Journal of the Royal Statistical Society. Series C, Applied statistics · 2025Article
- Heterogeneous Mediation Analysis for Cox Proportional Hazards Model With Multiple Mediators.Statistics in medicine · 2024Article
- Causal inference with a mediated proportional hazards regression model.Communications in statistics: Simulation and computation · 2024Article
- Religion and survival among European older adults.European journal of ageing · 2023Article
- Risk-aware survival time prediction from whole slide pathological images.Scientific reports · 2022Article
- Pet ownership and survival of European older adults.European journal of ageing · 2022Article
- A Review of High-Dimensional Mediation Analyses in DNA Methylation Studies.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Exposure assessment for Cox proportional hazards cure models with interval-censored survival data.Biometrical journal. Biometrische Zeitschrift · 2022Article
- Mediation analysis for survival data with high-dimensional mediators.Bioinformatics (Oxford, England) · 2021Article
- Receipt of opioid agonist treatment halves the risk of HIV-1 RNA viral load rebound through improved ART adherence for HIV-infected women who use illicit drugs.Drug and alcohol dependence · 2020Article
- The Impact of Antidepressants on the Risk of Developing Obstructive Sleep Apnea in Posttraumatic Stress Disorder: A Nationwide Cohort Study in Taiwan.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
An important problem within the social, behavioral, and health sciences is how to partition an exposure effect (e.g. treatment or risk factor) among specific pathway effects and to quantify the importance of each pathway. Mediation analysis based on the potential outcomes framework is an important tool to address this problem and we consider the estimation of mediation effects for the proportional hazards model in this paper. We give precise definitions of the total effect, natural indirect effect, and natural direct effect in terms of the survival probability, hazard function, and restricted mean survival time within the standard two-stage mediation framework. To estimate the mediation effects on different scales, we propose a mediation formula approach in which simple parametric models (fractional polynomials or restricted cubic splines) are utilized to approximate the baseline log cumulative hazard function. Simulation study results demonstrate low bias of the mediation effect estimators and close-to-nominal coverage probability of the confidence intervals for a wide range of complex hazard shapes. We apply this method to the Jackson Heart Study data and conduct sensitivity analysis to assess the impact on the mediation effects inference when the no unmeasured mediator-outcome confounding assumption is violated.
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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.