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Confidence Intervals for Proportions and Related Measures of Effect Size.

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 h...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Newcombe, Robert G.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Taylor and Francis, 2013.
Colección:Chapman & Hall/CRC biostatistics series.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Confidence Intervals for Proportions and Related Measures of Effect Size. 
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505 0 |a Front Cover; Contents; Preface; Acknowledgments; Author; Acronyms; Chapter 1 -- Hypothesis Tests and Confidence Intervals; Chapter 2 -- Means and Their Differences; Chapter 3 -- Confidence Intervals for a Simple Binomial Proportion; Chapter 4 -- Criteria for Optimality; Chapter 5 -- Evaluation of Performance of Confidence Interval Methods; Chapter 6 -- Intervals for the Poisson Parameter and the Substitution Approach; Chapter 7 -- Difference between Independent Proportions and the Square-and-Add Approach; Chapter 8 -- Difference between Proportions Based on Individually Paired Data. 
505 8 |a Chapter 9 -- Methods for Triads of ProportionsChapter 10 -- Relative Risk and Rate Ratio; Chapter 11 -- The Odds Ratio and Logistic Regression; Chapter 12 -- Screening and Diagnostic Tests; Chapter 13 -- Widening the Applicability of Confidence Interval Methods: The Propagating Imprecision Approach; Chapter 14 -- Several Applications of the MOVER and PropImp Approaches; Chapter 15 -- Generalised Mann-Whitney Measure; Chapter 16 -- Generalised Wilcoxon Measure; References; Appendix 1: Glossary of Some Statistical Terms; Appendix 2: Introduction to Logarithms and Exponentials; Back Cover. 
520 |a 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. 
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