confint.hetmeta: Confidence Intervals for 'hetmeta' Objects
In hetmeta: Heterogeneity Measures in Meta-Analysis

Description Usage Arguments Details Author(s) References See Also Examples

View source: R/methods.R

The function calculates confidence intervals for the heterogeneity measures in a 'hetmeta' object.

1 2	## S3 method for class 'hetmeta' confint(object, parm, level, digits, ...)

`object`	an object of class `hetmeta` produced by `hetmeta`.
`parm`	this argument is here for compatability with the generic function confint, but is (currently) ignored.
`level`	numerical value between 0 and 100 specifying the confidence interval level (if unspecified, the default is to take the value from the object).
`digits`	an integer specifying the number of digits to which printed results must be rounded.
`...`	further arguments passed to or from other methods.

The confidence intervals are constructed based on the (asymptotic) normal distribution of the estimators. Standard error are derived using the delta method. See the references for more details.

Alessio Crippa, alessio.crippa@ki.se

Takkouche B, Khudyakov P, Costa-Bouzas J, Spiegelman D. Confidence Intervals for Heterogeneity Measures in Meta-analysis. Am. J. Epidemiol. 2013:kwt060.

Crippa A, Khudyakov P, Wang M, Orsini N, Spiegelman D. A new measure of between-studies heterogeneity in meta-analysis. 2016. Stat. Med. In Press.

hetmeta

## load BCG vaccine data
data(dat.bcg)

## random-effects model of log relative risks
dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg)
res <- rma(yi, vi, data=dat)

## heterogeneity measures
het <- hetmeta(res)
confint(het)