df.OR.multi

Fictitious dataset including meta-analyses with dependent effect sizes.

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.OR.multi 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 (OR).</td></tr>
<tr><td></td><td></td></tr>
<tr><td>value</td><td>OR 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 (sum of the number of cases in the exposed and</td></tr>
<tr><td></td><td>non-exposed groups).</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_controls</td><td>number of controls (sum of the number of controls in the exposed</td></tr>
<tr><td></td><td>and non-exposed groups).</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_cases_exp</td><td>number of cases in the exposed group.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_controls_exp</td><td>number of controls in the exposed group.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_cases_nexp</td><td>number of cases in the non-exposed group.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_controls_nexp</td><td>number of controls in the non-exposed group.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>multiple_es</td><td>indicates the reason of the presence for multiple effect sizes</td></tr>
<tr><td></td><td>(due to multiple groups or outcomes) per study.</td></tr>
</table>

Format

Meta-analysis of RCTs assessing different dietary interventions on a binary outcome. — df.OR.multi

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 (OR).</td></tr>
<tr><td></td><td></td></tr>
<tr><td>value</td><td>OR 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 (sum of the number of cases in the exposed and</td></tr>
<tr><td></td><td>non-exposed groups).</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_controls</td><td>number of controls (sum of the number of controls in the exposed</td></tr>
<tr><td></td><td>and non-exposed groups).</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_cases_exp</td><td>number of cases in the exposed group.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_controls_exp</td><td>number of controls in the exposed group.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_cases_nexp</td><td>number of cases in the non-exposed group.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>n_controls_nexp</td><td>number of controls in the non-exposed group.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>multiple_es</td><td>indicates the reason of the presence for multiple effect sizes</td></tr>
<tr><td></td><td>(due to multiple groups or outcomes) per study.</td></tr>
</table>

df.OR.multi: Meta-analysis of RCTs assessing different dietary 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 (OR).

value	OR value.

ci_lo	lower bound of the 95% confidence interval.

ci_up	upper bound of the 95% confidence interval.

n_cases	number of cases (sum of the number of cases in the exposed and
	non-exposed groups).

n_controls	number of controls (sum of the number of controls in the exposed
	and non-exposed groups).

n_cases_exp	number of cases in the exposed group.

n_controls_exp	number of controls in the exposed group.

n_cases_nexp	number of cases in the non-exposed group.

n_controls_nexp	number of controls in the non-exposed group.

multiple_es	indicates the reason of the presence for multiple effect sizes
	(due to multiple groups or outcomes) per study.