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1	Adjusted Wald Confidence Interval for a Difference of Binomial Proportions Based on Paired Data Bonett, Douglas G., Price, Robert M. 01 August 2012 (has links) Adjusted Wald intervals for binomial proportions in one-sample and two-sample designs have been shown to perform about as well as the best available methods. The adjusted Wald intervals are easy to compute and have been incorporated into introductory statistics courses. An adjusted Wald interval for paired binomial proportions is proposed here and is shown to perform as well as the best available methods. A sample size planning formula is presented that should be useful in an introductory statistics course. binomial distribution interval estimation Laplace estimate matched-pairs repeated measures sample size score interval within-subjects design Mathematics and Statistics
2	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

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Adjusted Wald Confidence Interval for a Difference of Binomial Proportions Based on Paired Data

Confidence Intervals for a Ratio of Binomial Proportions Based on Paired Data