ArticleAmerican journal of epidemiology2015
Practical guidance for conducting mediation analysis with multiple mediators using inverse odds ratio weighting.
Article in American journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 120 papers, 1 of them a synthesis that pooled it.
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Who cites it
120 citing papers in PubMed, 1 synthesis or guideline pooled it, 216 citations in OpenAlex.
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- Inpatient multimodal rehabilitation and the role of pain intensity and mental distress on return-to-work: causal mediation analyses of a randomized controlled trial.Journal of rehabilitation medicine · 2024Trial
- Plasma Metabolites Link Dietary Patterns to Stroke Risk.Annals of neurology · 2023Trial
- Housing mobility protects against alcohol use for children with socioemotional health vulnerabilities: An experimental design.Alcoholism, clinical and experimental research · 2022Trial
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- Infant sex modifies associations between placental malaria and risk of malaria in infancy.Malaria journal · 2020Trial
- Depression and Incident HIV in Adolescent Girls and Young Women in HIV Prevention Trials Network 068: Targets for Prevention and Mediating Factors.American journal of epidemiology · 2020Trial
- The price of admission: does moving to a low-poverty neighborhood increase discriminatory experiences and influence mental health?Social psychiatry and psychiatric epidemiology · 2019Trial
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- A metabolite index of ultra-processed food intake is associated with stroke, cancer mortality, and all-cause mortality.medRxiv : the preprint server for health sciences · 2026Article
- Mediators of the association between psychological distress and mortality in people diagnosed with cancer.Nature communications · 2025Article
- Residential Racial Segregation, Socioeconomic Status, and Hypertension Risk in Black and White Americans: The REGARDS Prospective Cohort Study.Journal of the American Heart Association · 2025Article
- Racial and Ethnic Disparities in Cancer Mortality and Mediating Effects of Sociodemographic, Clinicopathologic, and Treatment Factors.Journal of racial and ethnic health disparities · 2025Article
- Air pollution and cognitive performance in late life: the role of lipid profile - results from the Multi-Ethnic Study of Atherosclerosis (MESA).Environment international · 2025Article
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- Greenspace proximity in relation to sleep health among a racially and ethnically diverse cohort of US women.Environmental research · 2025Article
60 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
Despite the recent flourishing of mediation analysis techniques, many modern approaches are difficult to implement or applicable to only a restricted range of regression models. This report provides practical guidance for implementing a new technique utilizing inverse odds ratio weighting (IORW) to estimate natural direct and indirect effects for mediation analyses. IORW takes advantage of the odds ratio's invariance property and condenses information on the odds ratio for the relationship between the exposure (treatment) and multiple mediators, conditional on covariates, by regressing exposure on mediators and covariates. The inverse of the covariate-adjusted exposure-mediator odds ratio association is used to weight the primary analytical regression of the outcome on treatment. The treatment coefficient in such a weighted regression estimates the natural direct effect of treatment on the outcome, and indirect effects are identified by subtracting direct effects from total effects. Weighting renders treatment and mediators independent, thereby deactivating indirect pathways of the mediators. This new mediation technique accommodates multiple discrete or continuous mediators. IORW is easily implemented and is appropriate for any standard regression model, including quantile regression and survival analysis. An empirical example is given using data from the Moving to Opportunity (1994-2002) experiment, testing whether neighborhood context mediated the effects of a housing voucher program on obesity. Relevant Stata code (StataCorp LP, College Station, Texas) is provided.
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