epidural_ic

<p>The data contains a meta analysis of the association between using epidural
analgesia in labor and the risk of cesarean section. It contains 27 studies,
only 10 out of which have full compliance information.</p>

dataset

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.

Jinhui Yang

BayesCACE

Bayesian Model for CACE Analysis

Jincheng Zhou

James Hodges

Haitao Chu

epidural_ic function

<p>An object of class <code>data.frame</code> with 27 rows and 14 columns.</p>

Format

Meta-analysis data without full compliance information — epidural_ic

Meta-analysis data without full compliance information

epidural_ic: Meta-analysis data without full compliance information

Description

Usage

Arguments

Format

References

Examples