df.SMC

Fictitious dataset of three meta-analyses of RCTs assessing the efficacy of an intervention on a continuous outcome in 3 populations.

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.SMC 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 population 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 (SMC).</td></tr>
<tr><td></td><td></td></tr>
<tr><td>value</td><td>SMC value.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>se</td><td>standard error of the SMC.</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>
<tr><td></td><td></td></tr>
<tr><td>mean_cases</td><td>means at post-test of patients in the experimental arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>mean_controls</td><td>means at post-test of patients in the control arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>sd_cases</td><td>standard deviations at post-test of patients in the experimental arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>sd_controls</td><td>standard deviations at post-test of patients in the control arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>mean_pre_cases</td><td>means at baseline of patients in the experimental arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>mean_pre_controls</td><td>means at baseline of patients in the control arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>sd_pre_cases</td><td>standard deviations at baseline of patients in the experimental arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>sd_pre_controls</td><td>standard deviations at baseline of patients in the control arm.</td></tr>
</table>

Format

Meta-analyses exploring the efficacy of an intervention on a continuous outcome measured before and after the intervention. — df.SMC

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 population 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 (SMC).</td></tr>
<tr><td></td><td></td></tr>
<tr><td>value</td><td>SMC value.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>se</td><td>standard error of the SMC.</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>
<tr><td></td><td></td></tr>
<tr><td>mean_cases</td><td>means at post-test of patients in the experimental arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>mean_controls</td><td>means at post-test of patients in the control arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>sd_cases</td><td>standard deviations at post-test of patients in the experimental arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>sd_controls</td><td>standard deviations at post-test of patients in the control arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>mean_pre_cases</td><td>means at baseline of patients in the experimental arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>mean_pre_controls</td><td>means at baseline of patients in the control arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>sd_pre_cases</td><td>standard deviations at baseline of patients in the experimental arm.</td></tr>
<tr><td></td><td></td></tr>
<tr><td>sd_pre_controls</td><td>standard deviations at baseline of patients in the control arm.</td></tr>
</table>

df.SMC: Meta-analyses exploring the efficacy of an intervention on a continuous outcome measured before and after the intervention.

Description

Usage

Arguments

Format

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

factor	name of the population studied.

author	first study author of the individual studies.

year	year of publication of the individual studies.

measure	type of effect size (SMC).

value	SMC value.

se	standard error of the SMC.

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.

mean_cases	means at post-test of patients in the experimental arm.

mean_controls	means at post-test of patients in the control arm.

sd_cases	standard deviations at post-test of patients in the experimental arm.

sd_controls	standard deviations at post-test of patients in the control arm.

mean_pre_cases	means at baseline of patients in the experimental arm.

mean_pre_controls	means at baseline of patients in the control arm.

sd_pre_cases	standard deviations at baseline of patients in the experimental arm.

sd_pre_controls	standard deviations at baseline of patients in the control arm.