bayesmsm
Fitting Bayesian Marginal Structural Models for Longitudinal Observational Data
v1.0.0
·
Jun 16, 2025
·
MIT + file LICENSE
Description
Implements Bayesian marginal structural models for causal effect estimation with time-varying treatment and confounding. It includes an extension to handle informative right censoring. The Bayesian importance sampling weights are estimated using JAGS. See Saarela (2015) <doi:10.1111/biom.12269> for methodological details.
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1.0.0
Mar 10, 2026