| dat.damico2009 {metadat} | R Documentation |
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, wvb@metafor-project.org, 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)