df.SMC: Meta-analyses exploring the efficacy of an intervention on a...

df.SMCR Documentation

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


metaumbrella documentation built on Nov. 7, 2023, 1:06 a.m.