df.SMD: Meta-analyses exploring the efficacy of surgical and...

df.SMDR Documentation

Meta-analyses exploring the efficacy of surgical and pharmacological interventions.

Description

Fictitious dataset of two meta-analyses of RCTs assessing the efficacy of surgical and pharmacological interventions on a numeric outcome.

Usage

df.SMD

Format

The dataset contains the following variables:

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 (SMD).
value SMD value.
se standard error of the SMD.
ci_lo lower bound of the 95% confidence interval.
ci_up upper bound of the 95% confidence interval.
mean_cases means of patients in the experimental arm.
mean_controls means of patients in the control arm.
sd_cases standard deviations of patients in the experimental arm.
sd_controls standard deviations of patients in the control arm.
n_cases number of patients in the experimental arm.
n_controls number of patients in the control arm.
rob risk of bias of the individual studies.
amstar AMSTAR score of the meta-analysis.

Source

No source, the data are entirely fictitious


metaumbrella documentation built on June 22, 2024, 12:17 p.m.