dietary_fat

Data frame containing the number of deaths and person-years at risk in 10
trials comparing reduced fat diets vs. control (non-reduced fat diet) for
preventing mortality Hooper2000,TSD2multinma.

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

dietary_fat function

A data frame with 21 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>number of events</dd><dt>n</dt>
<dd>number randomised</dd><dt>E</dt>
<dd>person-years at risk</dd>
</dl>

Format

Reduced dietary fat to prevent mortality — dietary_fat

A data frame with 21 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>number of events</dd>

<dt>n</dt>
<dd>number randomised</dd>

<dt>E</dt>
<dd>person-years at risk</dd>


</dl>

dietary_fat: Reduced dietary fat to prevent mortality

Description

Usage

Arguments

Format

References