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 class="dl-horizontal">
<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 class='dl-horizontal'>
<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

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Format

References