df.SMC {metaumbrella}

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

Description

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

Usage

df.SMC

Format

The dataset contains the following variables:

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.
mean_change_cases	mean change score of patients in the experimental arm.
mean_change_controls	mean change score of patients in the control arm.
sd_change_cases	standard deviations of the change score of patients in the experimental arm.
sd_change_controls	standard deviations of the change score of patients in the control arm.

Source

No source, the data are entirely fictitious