dat.damico2009: Studies on Topical plus Systemic Antibiotics to Prevent...

In wviechtb/metadat: Meta-Analysis Datasets

Studies on Topical plus Systemic Antibiotics to Prevent Respiratory Tract Infections

Description

Results from 16 studies examining the effectiveness of topical plus systemic antibiotics to prevent respiratory tract infections (RTIs).

Usage

dat.damico2009

Format

The data frame contains the following columns:

study	character	first author
year	numeric	publication year
xt	numeric	number of RTIs in the treatment group
nt	numeric	number of patients in the treatment group
xc	numeric	number of RTIs in the control group
nc	numeric	number of patients in the control group
conceal	numeric	allocation concealment (0 = not adequate, 1 = adequate)
blind	numeric	blinding (0 = open, 1 = double-blind)

Details

The dataset includes the results from 16 studies that examined the effectiveness of topical plus systemic antibiotics versus no prophylaxis to prevent respiratory tract infections (RTIs).

Concepts

medicine, odds ratios

Author(s)

Wolfgang Viechtbauer, [e-mail], https://www.metafor-project.org

Source

D'Amico, R., Pifferi, S., Torri, V., Brazzi, L., Parmelli, E., & Liberati, A. (2009). Antibiotic prophylaxis to reduce respiratory tract infections and mortality in adults receiving intensive care. Cochrane Database of Systematic Reviews, 4, CD000022. ⁠https://doi.org/10.1002/14651858.CD000022.pub3⁠

Examples

### copy data into 'dat' and examine data
dat <- dat.damico2009
dat

## Not run: 
### load metafor package
library(metafor)

### meta-analysis of the (log) odds ratios using the Mantel-Haenszel method
rma.mh(measure="OR", ai=xt, n1i=nt, ci=xc, n2i=nc, data=dat, digits=2)

### calculate log odds ratios and corresponding sampling variances
dat <- escalc(measure="OR", ai=xt, n1i=nt, ci=xc, n2i=nc, data=dat)

### meta-analysis using a random-effects model
res <- rma(yi, vi, data=dat, method="DL")
res
predict(res, transf=exp, digits=2)

## End(Not run)

wviechtb/metadat documentation built on Jan. 14, 2024, 1:22 a.m.