ArticleStatistical methods in medical research2018
Mediation analysis for count and zero-inflated count data.
Article in Statistical methods in medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Motivational Interviewing and Childhood Caries: A Randomised Controlled Trial.International journal of environmental research and public health · 2023Trial
- Bayesian Nonparametric Model for Heterogeneous Treatment Effects With Zero-Inflated Data.Statistics in medicine · 2024Article
- Causal Mediation Analysis of FoodbornePathogens (Basel, Switzerland) · 2024Article
- Population-average mediation analysis for zero-inflated count outcomes.Statistics in medicine · 2024Article
- INTEGRATING INCOMPLETE DATA FOR MEDIATION ANALYSIS.Statistica Sinica · 2024Article
- Application of marginalized zero-inflated models when mediators have excess zeroes.Statistical methods in medical research · 2024Article
- Differential associations of adolescent versus young adult cannabis initiation with longitudinal brain change and behavior.Molecular psychiatry · 2023Article
- Causal mediation and sensitivity analysis for mixed-scale data.Statistical methods in medical research · 2023Article
- Article
- Mediation effect selection in high-dimensional and compositional microbiome data.Statistics in medicine · 2021Article
- Detection of suspicious interactions of spiking covariates in methylation data.BMC bioinformatics · 2020Article
- A Prospective Study of the Impact of Current Poverty, History of Poverty, and Exiting Poverty on Accumulation of Disease Damage in Systemic Lupus Erythematosus.Arthritis & rheumatology (Hoboken, N.J.) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Different conventional and causal approaches have been proposed for mediation analysis to better understand the mechanism of a treatment. Count and zero-inflated count data occur in biomedicine, economics, and social sciences. This paper considers mediation analysis for count and zero-inflated count data under the potential outcome framework with nonlinear models. When there are post-treatment confounders which are independent of, or affected by, the treatment, we first define the direct, indirect, and total effects of our interest and then discuss various conditions under which the effects of interest can be identified. Proofs are provided for the sensitivity analysis proposed in the paper. Simulation studies show that the methods work well. We apply the methods to the Detroit Dental Health Project's Motivational Interviewing DVD trial for the direct and indirect effects of motivational interviewing on count and zero-inflated count dental caries outcomes.
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What OpenQuestion holds
Registered trials
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.