model.study

This function generates the model code for a single study using the 
likelihood and model specified in Section 2.1, or a two-step 
approach for meta-analysis with complete compliance information as 
described in Section 2.2, "The two-step approach" of the package manuscript.
This function will be called internally if user uses the <code>cace.study</code> function.

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

model.study function

<dl><dt>re.values</dt>
<dd>a list of parameter values for the random effects. It should contain the assignment for these
parameters only: <code>n.m</code> and <code>n.s</code>, which refer to the mean and standard deviation used
in the normal distribution estimation of <code>n</code>, as well as <code>a.m</code>, <code>a.s</code>, 
<code>alpha.s.m</code>, <code>alpha.s.s</code>, <code>alpha.b.m</code>, <code>alpha.b.s</code>, <code>alpha.u.m</code>, <code>alpha.u.s</code>,
<code>alpha.v.m</code>, <code>alpha.v.s</code>. By default, this is an empty list, and all the mean are set to <code>0</code>, and 
<code>alpha.n.s = alpha.a.s = 0.16</code>, and <code>alpha.s.s = alpha.b.s = alpha.u.s = alpha.v.s = 0.25</code>.</dd></dl>

Arguments

Model code of CACE analysis for a single study, or a two-step approach for meta-analysis 
with complete complice information — model.study

<dl>

<dt>re.values</dt>
<dd>a list of parameter values for the random effects. It should contain the assignment for these
parameters only: <code>n.m</code> and <code>n.s</code>, which refer to the mean and standard deviation used
in the normal distribution estimation of <code>n</code>, as well as <code>a.m</code>, <code>a.s</code>, 
<code>alpha.s.m</code>, <code>alpha.s.s</code>, <code>alpha.b.m</code>, <code>alpha.b.s</code>, <code>alpha.u.m</code>, <code>alpha.u.s</code>,
<code>alpha.v.m</code>, <code>alpha.v.s</code>. By default, this is an empty list, and all the mean are set to <code>0</code>, and 
<code>alpha.n.s = alpha.a.s = 0.16</code>, and <code>alpha.s.s = alpha.b.s = alpha.u.s = alpha.v.s = 0.25</code>.</dd>

</dl>

model.study: Model code of CACE analysis for a single study, or a two-step approach for meta-analysis with complete complice information

Description

Usage

Value

Arguments

Examples