The function calculates confidence intervals for the heterogeneity measures in a 'hetmeta' object.
Usage
## S3 method for class 'hetmeta'
confint(object, parm, level, digits, ...)
Arguments
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.
Details
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.
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.
See Also
hetmeta
Examples
## 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)