ArticleStatistics in medicine2012
Estimation of mediation effects for zero-inflated regression models.
Article in Statistics in medicine, 2012. 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, 27 citations in OpenAlex.
- Do baby teeth really matter? Changing parental perception and increasing dental care utilization for young children.Contemporary clinical trials · 2017Trial
- Preventing Sickness Absence With Career Management Intervention: A Randomized Controlled Field Trial.Journal of occupational and environmental medicine · 2016Trial
- Randomized controlled trial of a web-delivered personalized normative feedback intervention to reduce alcohol-related risky sexual behavior among college students.Journal of consulting and clinical psychology · 2014Trial
- Bayesian Nonparametric Model for Heterogeneous Treatment Effects With Zero-Inflated Data.Statistics in medicine · 2024Article
- Population-average mediation analysis for zero-inflated count outcomes.Statistics in medicine · 2024Article
- Application of marginalized zero-inflated models when mediators have excess zeroes.Statistical methods in medical research · 2024Article
- Causal mediation and sensitivity analysis for mixed-scale data.Statistical methods in medical research · 2023Article
- Mediation analysis for count and zero-inflated count data.Statistical methods in medical research · 2018Article
- Reasons for Testing Mediation in the Absence of an Intervention Effect: A Research Imperative in Prevention and Intervention Research.Journal of studies on alcohol and drugs · 2018Article
- Mediation analysis for count and zero-inflated count data without sequential ignorability and its application in dental studies.Journal of the Royal Statistical Society. Series C, Applied statistics · 2018Article
- Estimation and Inference for the Mediation Proportion.The international journal of biostatistics · 2017Article
- Causal Mediation Analysis for the Cox Proportional Hazards Model with a Smooth Baseline Hazard Estimator.Journal of the Royal Statistical Society. Series C, Applied statistics · 2017Article
- Causal mediation analysis with a latent mediator.Biometrical journal. Biometrische Zeitschrift · 2016Article
- Assessing natural direct and indirect effects for a continuous exposure and a dichotomous outcome.Journal of statistical theory and practice · 2016Article
- Sensitivity analyses for parametric causal mediation effect estimation.Biostatistics (Oxford, England) · 2015Article
- Causal relationship between the AHSG gene and BMD through fetuin-A and BMI: multiple mediation analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2014Article
- Estimation of causal mediation effects for a dichotomous outcome in multiple-mediator models using the mediation formula.Statistics in medicine · 2013Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The goal of mediation analysis is to identify and explicate the mechanism that underlies a relationship between a risk factor and an outcome via an intermediate variable (mediator). In this paper, we consider the estimation of mediation effects in zero-inflated (ZI) models intended to accommodate 'extra' zeros in count data. Focusing on the ZI negative binomial models, we provide a mediation formula approach to estimate the (overall) mediation effect in the standard two-stage mediation framework under a key sequential ignorability assumption. We also consider a novel decomposition of the overall mediation effect for the ZI context using a three-stage mediation model. Estimation of the components of the overall mediation effect requires an assumption involving the joint distribution of two counterfactuals. Simulation study results demonstrate low bias of mediation effect estimators and close-to-nominal coverage probability of confidence intervals. We also modify the mediation formula method by replacing 'exact' integration with a Monte Carlo integration method. The method is applied to a cohort study of dental caries in very low birth weight adolescents. For overall mediation effect estimation, sensitivity analysis was conducted to quantify the degree to which key assumption must be violated to reverse the original conclusion.
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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.