BayesCACE
1.2.3Bayesian Model for CACE Analysis
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Overview
About
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.
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Dependencies
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7 external dependencies (excludes base and recommended)
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R >= 3.5.0rjags
Imports (7)
codaRdpackgrDevicesforestplotmetaforlme4methods
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Package metadata
- First published
- 2021-11-08
- Total releases
- 5 / 5 yrs
- License
- GPL (>= 2) OSI
- Download size
- 1.7 MB
- Installed size
- not tracked yet
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