This function provides summary estimates of a univariate meta-analysis model.
Usage
## S3 method for class 'uvmeta'
summary(object, ...)
Arguments
object
a uvmeta object.
...
arguments to be passed on to other functions
Value
The model parameters are given as mu (overall treatment effect),tausq (between-study variance if random effects were assumed), Q (Cochran's Q statistic) and Isq (I-square index).
Note
There are no confidence intervals for tausq when estimated with a frequentistic approach, as it is considered fixed.
Author(s)
Thomas Debray <thomas.debray@gmail.com>
References
DerSimonian R, Laird N. Meta-analysis in clinical trials. Controlled Clinical Trials 1986; 7: 177–188.
Biggerstaff BJ, Tweedie RL. Incorporating variability in estimates of heterogeneity in the random effects model in meta-analysis. Statistics in Medicine 1997; 16: 753–768.
Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Statistics in Medicine 2002; 21: 1539–1558.
Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Research Synthesis Methods 2010; 1: 97–111.
Riley RD, Higgins JPT, Deeks JJ. Interpretation of random effects meta-analyses. British Medical Journal 2011; 342: d549.