Confidence Intervals for Proportions and Related Measures of Effect
Size illustrates the use of effect size measures and corresponding
confidence intervals as more informative alternatives to the most
basic and widely used significance tests. The book provides you
with a deep understanding of what happens when these statistical
methods are applied in situations far removed from the familiar
Gaussian case. Drawing on his extensive work as a statistician and
professor at Cardiff University School of Medicine, the author
brings together methods for calculating confidence intervals for
proportions and several other important measures, including
differences, ratios, and nonparametric effect size measures
generalizing Mann-Whitney and Wilcoxon tests. He also explains
three important approaches to obtaining intervals for related
measures. Many examples illustrate the application of the methods
in the health and social sciences. Requiring little computational
skills, the book offers user-friendly Excel spreadsheets for
download at www.crcpress.com, enabling you to easily apply the
methods to your own empirical data.
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