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Performs CACE (Complier Average Causal Effect analysis) on either a single study or meta-analysis of datasets with binary outcomes, using either complete or incomplete noncompliance information. Our package implements the Bayesian methods proposed in Zhou et al. (2019) doi:10.1111/biom.13028, which introduces a Bayesian hierarchical model for estimating CACE in meta-analysis of clinical trials with noncompliance, and Zhou et al. (2021) doi:10.1080/01621459.2021.1900859, with an application example on Epidural Analgesia.
| System requirements | JAGS 4.x.y (http://mcmc-jags.sourceforge.net) |
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