A Comparison of Two Varying Coefficient Meta-Analysis Methods for an Average Risk Difference
Two interval estimation methods for a general linear function of binomial proportions have been proposed. One method [Zou GY, Huang W, Zhang X. A note on confidence interval estimation for a linear function of binomial proportions. Comput Statist Data Anal. 2009;53:1080–1085] combines Wilson interval estimates of individual proportions, and the other method [Price RM, Bonett DG. An improved confidence interval for a linear function of binomial proportions. Comput Statist Data Anal. 2004;45:449–456] uses an adjusted Wald interval. Both methods are appropriate in varying coefficient meta-analysis models where the risk differences are allowed to vary across studies. The two methods were compared in a simulation study under realistic meta-analysis conditions and the adjusted Wald method was found to have the best performance characteristics.
Price, Robert M.; and Bonett, Douglas G.. 2015. A Comparison of Two Varying Coefficient Meta-Analysis Methods for an Average Risk Difference. Journal of Statistical Computation and Simulation. Vol.85(12). 2378-2383. https://doi.org/10.1080/00949655.2014.929132 ISSN: 0094-9655