ArticleAmerican journal of epidemiology2021
Parametric-Regression-Based Causal Mediation Analysis of Binary Outcomes and Binary Mediators: Moving Beyond the Rareness or Commonness of the Outcome.
Article in American journal of epidemiology, 2021. 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 15 papers.
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.
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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
15 citing papers in PubMed.
- Eliminating children's tobacco smoke exposure: a pathway to bioverified abstinence among low-income maternal smokers in the Babies Living Safe and Smokefree (BLiSS) trial.Journal of behavioral medicine · 2023Trial
- Racial/ethnic disparities in grade point averages and absences among 9th graders in Georgia: the role of sleep differences.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026Article
- The role of perceived access to cannabis in the association between friends who use cannabis and adolescent initiation: A longitudinal analysis from the Canadian COMPASS study.Addiction (Abingdon, England) · 2026Observational
- MELODY: Mediation Analysis in Logistic Regression for High-Dimensional Mediators and a Binary Outcome.Genetic epidemiology · 2026Article
- Lower hippocampal volume partly mediates the association between rs6859 in theFrontiers in aging neuroscience · 2026Article
- MELODY: Mediation Analysis in Logistic Regression for High-Dimensional Mediators and a Binary Outcome.bioRxiv : the preprint server for biology · 2025Article
- Lower Hippocampal Volume Partly Mediates the Association Between rs6859 in themedRxiv : the preprint server for health sciences · 2025Article
- 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
- Article
- Associations between endometriosis and adverse pregnancy and perinatal outcomes: a population-based cohort study.Archives of gynecology and obstetrics · 2024Article
- An empirical evaluation of approximate and exact regression-based causal mediation approaches for a binary outcome and a continuous or a binary mediator for case-control study designs.BMC medical research methodology · 2024Article
- Influence of preterm birth on the association between gestational diabetes mellitus and childhood developmental vulnerability: a causal mediation analysis.World journal of pediatrics : WJP · 2024Article
- It goes both ways: The relationship between anxiety and mild cognitive impairment.International journal of geriatric psychiatry · 2023Article
- An exact regression-based approach for the estimation of natural direct and indirect effects with a binary outcome and a continuous mediator.Statistics in medicine · 2023Article
- CORRECTION TO: "PARAMETRIC-REGRESSION-BASED CAUSAL MEDIATION ANALYSIS OF BINARY OUTCOMES AND BINARY MEDIATORS: MOVING BEYOND THE RARENESS OR COMMONNESS OF THE OUTCOME".American journal of epidemiology · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the causal mediation framework, several parametric-regression-based approaches have been introduced in the last decade for estimating natural direct and indirect effects. For a binary outcome, a number of proposed estimators use a logistic model and rely on specific assumptions or approximations that may be delicate or not easy to verify in practice. To circumvent the challenges prompted by the rare outcome assumption in this context, an exact closed-form natural-effects estimator on the odds ratio scale was recently introduced for a binary mediator. In this work, we further push this exact approach and extend it for the estimation of natural effects on the risk ratio and risk difference scales. Explicit formulas for the delta method standard errors are provided. The performance of our proposed exact estimators is demonstrated in simulation scenarios featuring various levels of outcome rareness/commonness. The total effect decomposition property on the multiplicative scales is also examined. Using a SAS macro (SAS Institute, Inc., Cary, North Carolina) we developed, our approach is illustrated to assess the separate effects of exposure to inhaled corticosteroids and placental abruption on low birth weight mediated by prematurity. Our exact natural-effects estimators are found to work properly in both simulations and the real data example.
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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.