smoking

Data frame containing the results of 24 trials of 4 smoking cessation
treatments Hasselblad1998,TSD4multinma.

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

smoking function

A data frame with 50 rows and 5 variables:<dl class="dl-horizontal">
<dt>studyn</dt><dd>numeric study ID</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>
</dl>

Format

Smoking cessation data — smoking

A data frame with 50 rows and 5 variables:<dl class='dl-horizontal'>
<dt>studyn</dt><dd>numeric study ID</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>
</dl>

smoking: Smoking cessation data

Description

Usage

Arguments

Format

References