ArticleEpidemiology, biostatistics and public health2014
Sensitivity analysis for direct and indirect effects in the presence of exposure-induced mediator-outcome confounders.
Article in Epidemiology, biostatistics and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.
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Who cites it
38 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of mediation analysis frameworks in studies examining the determinants of cardiometabolic outcomes in people living with HIV.BMC medical research methodology · 2025Pooled it
- A Systematic Review of the Reporting Quality of Observational Studies That Use Mediation Analyses.Prevention science : the official journal of the Society for Prevention Research · 2022Pooled it
- Three-Way Decomposition for Applied Health Equity Research: A Practical Tutorial to Understand and Address Inequalities.Prevention science : the official journal of the Society for Prevention Research · 2025Article
- Household income and children's mental health outcomes: the mediating role of maternal wellbeing and parent-child relationship quality.European child & adolescent psychiatry · 2025Article
- Practical challenges in mediation analysis: a guide for applied researchers.Health services & outcomes research methodology · 2025Article
- Direct and Indirect Causal Effects of an Individual Randomized Physical Activity-Promoting Intervention: A Substantive-Methodological Synergy.Measurement in physical education and exercise science · 2025Article
- Methods for the Analysis of Multiple Epigenomic Mediators in Environmental Epidemiology.Current environmental health reports · 2024Review
- Causal mediation analysis using high-dimensional image mediator bounded in irregular domain with an application to breast cancer.Biometrics · 2023Article
- A brief primer on conducting regression-based causal mediation analysis.Psychological trauma : theory, research, practice and policy · 2023Review
- Instrumental variable-based high-dimensional mediation analysis with unmeasured confounders for survival data in the observational epigenetic study.Frontiers in genetics · 2023Article
- Pathway-specific population attributable fractions.International journal of epidemiology · 2022Article
- Applied causal inference methods for sequential mediators.BMC medical research methodology · 2022Article
- Article
- Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data.Biometrics · 2022Article
- Public Rental Housing and Obesogenic Behaviors among Adults in Hong Kong: Mediator Role of Food and Physical Activity Environment.International journal of environmental research and public health · 2022Article
- When less conditioning provides better estimates: overcontrol and endogenous selection biases in research on intergenerational mobility.Quality & quantity · 2022Article
- Socioemotional mechanisms of loneliness in subclinical psychosis.Schizophrenia research · 2021Article
- Using Mediation Analysis to Understand How Treatments for Paediatric Pain Work: A Systematic Review and Recommendations for Future Research.Children (Basel, Switzerland) · 2021Review
- Statistical methods for mediation analysis in the era of high-throughput genomics: Current successes and future challenges.Computational and structural biotechnology journal · 2021Review
- Stigma of persons with disabilities in South Africa: Uncovering pathways from discrimination to depression and low self-esteem.Social science & medicine (1982) · 2020Article
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Authors and funding
2 authors.
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Abstract
Questions of mediation are often of interest in reasoning about mechanisms, and methods have been developed to address these questions. However, these methods make strong assumptions about the absence of confounding. Even if exposure is randomized, there may be mediator-outcome confounding variables. Inference about direct and indirect effects is particularly challenging if these mediator-outcome confounders are affected by the exposure because in this case these effects are not identified irrespective of whether data is available on these exposure-induced mediator-outcome confounders. In this paper, we provide a sensitivity analysis technique for natural direct and indirect effects that is applicable even if there are mediator-outcome confounders affected by the exposure. We give techniques for both the difference and risk ratio scales and compare the technique to other possible approaches.
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