Simple interval estimate methods for proportions exhibit poor coverage and can produce
evidently inappropriate intervals. Criteria appropriate to the evaluation of various proposed …

Several existing unconditional methods for setting confidence intervals for the difference
between binomial proportions are evaluated. Computationally simpler methods are prone to …

Various methods for finding confidence intervals for the ratio of binomial parameters are
reviewed and evaluated numerically. It is found that the method based on likelihood scores …

The standard confidence intervals for proportions and their differences used in introductory
statistics courses have poor performance, the actual coverage probability often being much …

Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in
contingency tables. It covers effect size estimation, confidence intervals, and hypothesis …

The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical
methods for analyzing discrete response data. The book can be used as a course text for …

The relationship between two independent binomial proportions is commonly estimated and
presented using the difference between proportions, the number needed to treat, the ratio of …

Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use
of effect size measures and corresponding confidence intervals as more informative …

Emphasizing the role of good statistical practices (GSP) in drug research and formulation,
this book outlines important statistics applications for each stage of pharmaceutical …

The traditional definition of a confidence interval requires the coverage probability at any
value of the parameter to be at least the nominal confidence level. In constructing such …