Incorporating variability in estimates of heterogeneity in the random effects model in meta-analysis.

@article{Biggerstaff1997IncorporatingVI,
title={Incorporating variability in estimates of heterogeneity in the random effects model in meta-analysis.},
author={Brad J. Biggerstaff and Richard L. Tweedie},
journal={Statistics in medicine},
year={1997},
volume={16 7},
pages={753-68}
}

When combining results from separate investigations in a meta-analysis, random effects methods enable the modelling of differences between studies by incorporating a heterogeneity parameter tau 2 that accounts explicitly for across-study variation. We develop a simple form for the variance of Cochran's homogeneity statistic Q, leading to interval estimation of tau 2 utilizing an approximating distribution for Q; this enables us to extend the point estimation of DerSimonian and Laird. We also… CONTINUE READING