ArticleStatistical methods in medical research2018
A Bayesian approach to the g-formula.
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 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Analysis of the anti-scalping mechanism of hospital appointment registration based on Bayesian theory.Frontiers in public health · 2026Article
- Beyond the first glance: How human presence enhances visual entropy and promotes spatial learning.PLoS computational biology · 2026Article
- Synthetic target trial emulation and predictive modeling of amylin-pathway therapies for obesity and type 2 diabetes.Metabolism open · 2025Article
- Incorporating small-area estimation into mediation analyses with areal datasets.Spatial and spatio-temporal epidemiology · 2025Article
- Associations between Fecal Contamination of the Household Environment and Enteric Pathogen Detection in Children Living in Maputo, Mozambique.Environment & health (Washington, D.C.) · 2025Article
- A Bayesian Approach to the G-Formula via Iterative Conditional Regression.Statistics in medicine · 2025Article
- A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding.Lifetime data analysis · 2025Article
- A Bayesian latent class approach to causal inference with longitudinal data.Statistical methods in medical research · 2025Article
- Stochastic treatment regimes in climate-health research: Reassessing malaria risk under warming scenarios in Colombia.PLOS global public health · 2025Article
- Uncertainty Quantification for Conditional Treatment Effect Estimation under Dynamic Treatment Regimes.Proceedings of machine learning research · 2024Article
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- Characterizing quantile-varying covariate effects under the accelerated failure time model.Biostatistics (Oxford, England) · 2024Article
- Covariate adjustment in Bayesian adaptive randomized controlled trials.Statistical methods in medical research · 2024Article
- Model-based standardization using multiple imputation.BMC medical research methodology · 2024Article
- Causal decomposition maps: An exploratory tool for designing area-level interventions aimed at reducing health disparities.Biometrical journal. Biometrische Zeitschrift · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Epidemiologists often wish to estimate quantities that are easy to communicate and correspond to the results of realistic public health interventions. Methods from causal inference can answer these questions. We adopt the language of potential outcomes under Rubin's original Bayesian framework and show that the parametric g-formula is easily amenable to a Bayesian approach. We show that the frequentist properties of the Bayesian g-formula suggest it improves the accuracy of estimates of causal effects in small samples or when data are sparse. We demonstrate an approach to estimate the effect of environmental tobacco smoke on body mass index among children aged 4-9 years who were enrolled in a longitudinal birth cohort in New York, USA. We provide an algorithm and supply SAS and Stan code that can be adopted to implement this computational approach more generally.
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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.