Cargando…
BayesGmed: An R-package for Bayesian causal mediation analysis
BACKGROUND: The past decade has seen an explosion of research in causal mediation analysis. However, most analytic tools developed so far rely on frequentist methods which may not be robust in the case of small sample sizes. In this paper, we propose a Bayesian approach for causal mediation analysis...
Autores principales: | Yimer, Belay B., Lunt, Mark, Beasley, Marcus, Macfarlane, Gary J., McBeth, John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266612/ https://www.ncbi.nlm.nih.gov/pubmed/37314996 http://dx.doi.org/10.1371/journal.pone.0287037 |
Ejemplares similares
-
bayes4psy—An Open Source R Package for Bayesian Statistics in Psychology
por: Demšar, Jure, et al.
Publicado: (2020) -
Heterogeneity in the association between weather and pain severity among patients with chronic pain: a Bayesian multilevel regression analysis
por: Yimer, Belay B., et al.
Publicado: (2022) -
Modelling and classifying joint trajectories of self-reported mood and pain in a large cohort study
por: Das, Rajenki, et al.
Publicado: (2023) -
An Introduction to Causal Mediation Analysis With a Comparison of 2 R Packages
por: Byeon, Sangmin, et al.
Publicado: (2023) -
MRPC: An R Package for Inference of Causal Graphs
por: Badsha, Md. Bahadur, et al.
Publicado: (2021)