ArticleStatistical methods in medical research2019
Generalized causal mediation and path analysis: Extensions and practical considerations.
Article in Statistical methods in medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Locating and testing the healthy context paradox: examples from the INCLUSIVE trial.BMC medical research methodology · 2022Trial
- The mediating role of recreational physical activity and dietary behavior in the relationship between family affluence and mental well-being: an interventional effects approach.Journal of behavioral medicine · 2026Article
- Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects.Statistics in medicine · 2025Article
- HPV vaccination willingness and behavior among patients with cervical intraepithelial neoplasia in low-resource areas of Western China: a cross-sectional study.Frontiers in public health · 2025Article
- Path-specific causal decomposition analysis with multiple correlated mediator variables.Statistics in medicine · 2024Article
- A Bayesian nonparametric approach for causal mediation with a post-treatment confounder.Biometrics · 2024Article
- Mediation Analyses of the Mechanisms by Which Socioeconomic Status, Comorbidity, Stroke Severity, and Acute Care Influence Stroke Outcome.Neurology · 2023Article
- Applied causal inference methods for sequential mediators.BMC medical research methodology · 2022Article
- Applications of conceptual models from lifecourse epidemiology in ecology and evolutionary biology.Biology letters · 2022Review
- Sex differences in the association of vital exhaustion with regional fat deposition and subclinical cardiovascular disease risk.Journal of psychosomatic research · 2022Article
- Did the Socio-Economic Gradient in Depression in Later-Life Deteriorate or Weaken during the COVID-19 Pandemic? New Evidence from England Using Path Analysis.International journal of environmental research and public health · 2022Article
- The Chasm in Percutaneous Coronary Intervention and In-Hospital Mortality Rates Among Acute Myocardial Infarction Patients in Rural and Urban Hospitals in China: A Mediation Analysis.International journal of public health · 2022Article
- Varying Coefficient Mediation Model and Application to Analysis of Behavioral Economics Data.Journal of business & economic statistics : a publication of the American Statistical Association · 2022Article
- A biologist's guide to model selection and causal inference.Proceedings. Biological sciences · 2021Article
- Continuous-time causal mediation analysis.Statistics in medicine · 2019Article
- Generalized causal mediation and path analysis: Extensions and practical considerations.Statistical methods in medical research · 2019Article
- Fusion Validity: Theory-Based Scale Assessment via Causal Structural Equation Modeling.Frontiers in psychology · 2019Article
Corrections and comments
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4 authors.
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Abstract
Causal mediation analysis seeks to decompose the effect of a treatment or exposure among multiple possible paths and provide casually interpretable path-specific effect estimates. Recent advances have extended causal mediation analysis to situations with a sequence of mediators or multiple contemporaneous mediators. However, available methods still have limitations, and computational and other challenges remain. The present paper provides an extended causal mediation and path analysis methodology. The new method, implemented in the new R package, gmediation (described in a companion paper), accommodates both a sequence (two stages) of mediators and multiple mediators at each stage, and allows for multiple types of outcomes following generalized linear models. The methodology can also handle unsaturated models and clustered data. Addressing other practical issues, we provide new guidelines for the choice of a decomposition, and for the choice of a reference group multiplier for the reduction of Monte Carlo error in mediation formula computations. The new method is applied to data from a cohort study to illuminate the contribution of alternative biological and behavioral paths in the effect of socioeconomic status on dental caries in adolescence.
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