diabetes

Data frame containing the number of new cases of diabetes in 22 trials of 6
antihypertensive drugs Elliott2007,TSD2multinma. The trial
duration (in years) is also recorded.

datasets

Network meta-analysis and network meta-regression models for
aggregate data, individual patient data, and mixtures of both individual
and aggregate data using multilevel network meta-regression as described by
Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a
Bayesian framework using 'Stan'.

David Phillippo

multinma

Bayesian Network Meta-Analysis of Individual and Aggregate Data

diabetes function

A data frame with 48 rows and 7 variables:<dl>
<dt>studyn</dt>
<dd>numeric study ID</dd><dt>studyc</dt>
<dd>study name</dd><dt>trtn</dt>
<dd>numeric treatment code</dd><dt>trtc</dt>
<dd>treatment name</dd><dt>r</dt>
<dd>total number of events</dd><dt>n</dt>
<dd>total number of individuals</dd><dt>time</dt>
<dd>trial follow-up (years)</dd>
</dl>

Format

Incidence of diabetes in trials of antihypertensive drugs — diabetes

A data frame with 48 rows and 7 variables:<dl>
<dt>studyn</dt>
<dd>numeric study ID</dd>

<dt>studyc</dt>
<dd>study name</dd>

<dt>trtn</dt>
<dd>numeric treatment code</dd>

<dt>trtc</dt>
<dd>treatment name</dd>

<dt>r</dt>
<dd>total number of events</dd>

<dt>n</dt>
<dd>total number of individuals</dd>

<dt>time</dt>
<dd>trial follow-up (years)</dd>


</dl>

diabetes: Incidence of diabetes in trials of antihypertensive drugs

Description

Usage

Arguments

Format

References