altmeta (version 4.2)

dat.dep: A Meta-Analysis of Binary and Continuous Outcomes on Depression

Description

This dataset serves as an example of meta-analysis of combining standardized mean differences and odds ratios.

Usage

data("dat.dep")

Format

A data frame with 6 studies with the following 15 variables within each study.

author

The first author of each study.

year

The publication year of each study.

treatment

The treatment group.

control

The control group.

y1

The sample mean in the treatment group for the continuous outcome.

sd1

The sample standard deviation in the treatment group for the continuous outcome.

n1

The sample size in the treatment group for the continuous outcome.

y0

The sample mean in the control group for the continuous outcome.

sd0

The sample standard deviation in the control group for the continuous outcome.

n0

The sample size in the control group for the continuous outcome.

r1

The event count in the treatment group for the binary outcome.

m1

The sample size in the treatment group for the binary outcome.

r0

The event count in the control group for the binary outcome.

m0

The sample size in the control group for the binary outcome.

id.bin

An indicator of whether the outcome is binary (1) or continuous (0).

Details

This dataset is from Cipriani et al. (2016), comparing the efficacy and tolerability of antidepressants for major depressive disorders in children and adolescents. Our case study focuses on efficacy. The authors originally performed a network meta-analysis; however, here we restrict the comparison to fluoxetine and placebo. The continuous outcomes are measured by the mean overall changes in depressive symptoms from baseline to endpoint. For the binary outcomes, events are defined as whether patients' depression rating scores were reduced by at least a specified cutoff value.