bzRptTbl

Compare the DIC from different models and report the summary of treatment effects
based on the model with the smallest DIC value

It is vital to assess the heterogeneity of treatment effects
(HTE) when making health care decisions for an individual patient or a group
of patients. Nevertheless, it remains challenging to evaluate HTE based
on information collected from clinical studies that are often designed and
conducted to evaluate the efficacy of a treatment for the overall population.
The Bayesian framework offers a principled and flexible approach to estimate
and compare treatment effects across subgroups of patients defined by their
characteristics. This package allows users to explore a wide range of Bayesian
HTE analysis models, and produce posterior inferences about HTE. See Wang et al.
(2018) <DOI:10.18637/jss.v085.i07> for further details.

Chenguang Wang

beanz

Bayesian Analysis of Heterogeneous Treatment Effect

bzRptTbl function

<dl><dt>lst.stan.rst</dt>
<dd>list of class <code>beanz.stan</code> results from
<code>bzCallStan</code> for different models</dd>
<dt>dat.sub</dt>
<dd>dataset with subgroup treatment effect summary data</dd>
<dt>var.cov</dt>
<dd>array of column names in dat.sub that corresponds to binary or
ordinal baseline covariates</dd>
<dt>cut</dt>
<dd>cut point to compute the probabiliby that the posterior subgroup
treatment effects is below</dd>
<dt>digits</dt>
<dd>number of digits in the summary result table</dd></dl>

Arguments

Summary table of treatment effects — bzRptTbl

<dl>

<dt>lst.stan.rst</dt>
<dd>list of class <code>beanz.stan</code> results from
<code>bzCallStan</code> for different models</dd>


<dt>dat.sub</dt>
<dd>dataset with subgroup treatment effect summary data</dd>


<dt>var.cov</dt>
<dd>array of column names in dat.sub that corresponds to binary or
ordinal baseline covariates</dd>


<dt>cut</dt>
<dd>cut point to compute the probabiliby that the posterior subgroup
treatment effects is below</dd>


<dt>digits</dt>
<dd>number of digits in the summary result table</dd>

</dl>

bzRptTbl: Summary table of treatment effects

Description

Usage

Value

Arguments