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1	A Comparison of Two Varying Coefficient Meta-Analysis Methods for an Average Risk Difference Price, Robert M., Bonett, Douglas G. 01 January 2015 (has links) 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. adjusted Wald interval meta analysis risk difference Mathematics and Statistics
2	An Improved Confidence Interval for a Linear Function of Binomial Proportions Price, Robert M., Bonett, Douglas G. 10 April 2004 (has links) We propose a simple adjustment to a Wald confidence interval to estimate a linear function of binomial proportions. This method is an extension to the adjusted Wald confidence intervals for proportions and their differences that have recently been proposed. binomial distribution laplace estimate maximum likelihood estimate wald interval Mathematics and Statistics
3	Confidence Intervals for a Ratio of Binomial Proportions Based on Paired Data Bonett, Douglas, Price, Robert M. 15 September 2006 (has links) Four interval estimation methods for the ratio of marginal binomial proportions are compared in terms of expected interval width and exact coverage probability. Two new methods are proposed that are based on combining two Wilson score intervals. The new methods are easy to compute and perform as well or better than the method recently proposed by Nam and Blackwelder. Two sample size formulas are proposed to approximate the sample size required to achieve an interval estimate with desired confidence level and width. continuity correction cross-over design interval estimation matched-pairs design repeated measures design sample size score interval wald interval wilson interval Mathematics and Statistics
4	Estimating the Ratio of Two Poisson Rates Price, Robert M., Bonett, Douglas G. 01 September 2000 (has links) Classical and Bayesian methods for interval estimation of the ratio of two independent Poisson rates are examined and compared in terms of their exact coverage properties. Two methods to determine sampling effort requirements are derived. agresti-coull interval bayesian interval binomial model confidence interval likelihood-based interval log-linear model logarithmic transformation noninformative prior poisson rate square-root transformation wald interval wilson interval Mathematics and Statistics

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