A Bayesian nonparametric causal inference model for synthesizing randomized clinical trial and real-world evidence

Cites Work

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The prognostic analogue of the propensity score
Adjusted likelihoods for synthesizing empirical evidence from studies that differ in quality and design: effects of environmental tobacco smoke
A Bayesian analysis of some nonparametric problems
Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials
Multiple-Bias Modelling for Analysis of Observational Data
The central role of the propensity score in observational studies for causal effects
Model-Based Direct Adjustment
The Confidence Profile Method: A Bayesian Method for Assessing Health Technologies
Bayesian curve fitting using multivariate normal mixtures
Estimating Normal Means with a Dirichlet Process Prior
Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies
Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders
A Method for Combining Inference Across Related Nonparametric Bayesian Models
Estimating normal means with a conjugate style dirichlet process prior
Bayesian Density Estimation and Inference Using Mixtures
Bayesian methods in meta-analysis and evidence synthesis
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
Observational studies.
Cutting feedback in Bayesian regression adjustment for the propensity score

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