aom {ra4bayesmeta}

Acute otitis media data

Description

Meta-analysis data set including 5 studies on treatment failure of short course (less than 7 days) versus long course (> 7 days) antibiotics for acute otitis media in children. The outcome considered is treatment failure at 8-19 days.

Usage

data(aom)

Format

A data frame with 5 observations on the following 7 variables:

study

character string, label of the study

f.t

integer, number of patients for whom the short course antibiotics treatment failed

n.t

integer, number of patients receiving short course antibiotics

f.c

integer, number of patients for whom the long course antibiotics treatment failed

n.c

integer, number of patients receiving long course antibiotics

y

numeric, log odds ratio estimates for the individual studies

sigma

numeric, standard error of the log odds ratio estimate for the individual studies

Details

This data set has been analyzed in Kozyrskyj et al. (2000) and reanalyzed by Lambert et al. (2005). Senn (2007, Section 2) discusses problems in this data set. In particular, one arm of one study has been included twice in the data set.

The counts f.t, n.t, f.c and n.c and the names of the studies are taken from Senn (2007), who reproduces the data set given in Kozyrskyj et al. (2000, Analysis 2.2). The log odds ratio estimates and standard errors were computed using the escalc function in the package metafor and are identical to the estimates used in Lambert et al. (2005).

Source

Senn, S. (2007). Trying to be precise about vagueness. Statistics in Medicine, 26, 1417–1430. doi:10.1002/sim.2639

References

Kozyrskyj, A., Klassen, T. P., Moffatt, M., Harvey K. (2000). Short-course antibiotics for acute otitis media. Cochrane Database of Systematic Reviews, Issue 2, Art. No.: CD001095. doi:10.1002/14651858.CD001095

Lambert, P., Sutton, A., Burton, P., Abrams, K., Jones, D. (2005). How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS. Statistics in Medicine 24(15), 2401–2428. doi:10.1002/sim.2112

Examples

data(aom)
str(aom)
# forest plot
forest(x=aom$y, sei=aom$sigma, xlab="log odds ratio")