df.HR

Fictitious dataset of four meta-analyses of RCTs assessing the efficacy of yoga, aerobic training,
resistance training and mindfulness on a binary outcome

datasets

A comprehensive range of facilities to perform umbrella reviews with stratification of the evidence in R. The package accomplishes this aim by building on three core functions that: (i) automatically perform all required calculations in an umbrella review (including but not limited to meta-analyses), (ii) stratify evidence according to various classification criteria, and (iii) generate a visual representation of the results. Note that if you are not familiar with R, the core features of this package are available from a web browser (<https://www.metaumbrella.org/>).

Corentin J Gosling

metaumbrella

Umbrella Review Package for R

Aleix Solanes

Paolo Fusar-Poli

Joaquim Radua

df.HR function

The dataset contains the following variables:<table class="table">
<tr><td>meta_review</td><td>name of the first author of the meta-analysis.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>factor</td><td>name of the intervention studied.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>author</td><td>first study author of the individual studies.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>year</td><td>year of publication of the individual studies.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>measure</td><td>type of effect size (HR).</td></tr>
<tr><td></td><td></td></tr>
<tr><td>value</td><td>HR value.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>ci_lo</td><td>lower bound of the 95% confidence interval.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>ci_up</td><td>upper bound of the 95% confidence interval.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_cases</td><td>number of cases.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_controls</td><td>number of controls.</td></tr>
</table>

Format

Meta-analyses exploring the efficacy of several interventions on a binary outcome. — df.HR

The dataset contains the following variables:<table class='table'>
<tr><td>meta_review</td><td>name of the first author of the meta-analysis.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>factor</td><td>name of the intervention studied.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>author</td><td>first study author of the individual studies.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>year</td><td>year of publication of the individual studies.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>measure</td><td>type of effect size (HR).</td></tr>
<tr><td></td><td></td></tr>
<tr><td>value</td><td>HR value.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>ci_lo</td><td>lower bound of the 95% confidence interval.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>ci_up</td><td>upper bound of the 95% confidence interval.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_cases</td><td>number of cases.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_controls</td><td>number of controls.</td></tr>
</table>

df.HR: Meta-analyses exploring the efficacy of several interventions on a binary outcome.

Description

Usage

Arguments

Format

meta_review	name of the first author of the meta-analysis.

factor	name of the intervention studied.

author	first study author of the individual studies.

year	year of publication of the individual studies.

measure	type of effect size (HR).

value	HR value.

ci_lo	lower bound of the 95% confidence interval.

ci_up	upper bound of the 95% confidence interval.

n_cases	number of cases.

n_controls	number of controls.