Causally interpretable meta‐analysis: Clearly defined causal effects and two case studies
Meta‐analysis is commonly used to combine results from multiple clinical trials, but
traditional meta‐analysis methods do not refer explicitly to a population of individuals to …
traditional meta‐analysis methods do not refer explicitly to a population of individuals to …
A Bayesian hierarchical CACE model accounting for incomplete noncompliance with application to a meta-analysis of epidural analgesia on cesarean section
Noncompliance with assigned treatments is a common challenge in analyzing and
interpreting randomized clinical trials (RCTs). One way to handle noncompliance is to …
interpreting randomized clinical trials (RCTs). One way to handle noncompliance is to …
[PDF][PDF] Estimating Causal Effects using Bayesian Methods with the R Package BayesCACE.
Noncompliance, a common problem in randomized clinical trials (RCTs), complicates the
analysis of the causal treatment effect especially in meta-analysis of RCTs. The complier …
analysis of the causal treatment effect especially in meta-analysis of RCTs. The complier …