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Found 4 papers, 1 papers with code
A Bayesian Framework for Causal Analysis of Recurrent Events in Presence of Immortal Risk
Estimation with observational claims data is challenging because while membership in the target population is defined in terms of eligibility criteria, treatment is rarely assigned exactly at the time of eligibility.
Bayesian Semiparametric Model for Sequential Treatment Decisions with Informative Timing
A g-computation procedure is used to compute a posterior over potential survival probability that is adjusted for time-varying confounding.
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches
We provide an introduction to Bayesian inference for causal effects for practicing statisticians who have some familiarity with Bayesian models and would like an overview of what it can add to causal estimation in practical settings.
Bayesian Nonparametric Cost-Effectiveness Analyses: Causal Estimation and Adaptive Subgroup Discovery
Effectiveness (often measured as increased survival time) and accumulated cost tends to be right-censored in many applications.
