Statistical Analysis of Contingency Tables

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Statistical Analysis of Contingency Tables by Morten Fagerland, Stian Lydersen, Petter Laake, CRC Press
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Author: Morten Fagerland, Stian Lydersen, Petter Laake ISBN: 9781315356556
Publisher: CRC Press Publication: July 28, 2017
Imprint: Chapman and Hall/CRC Language: English
Author: Morten Fagerland, Stian Lydersen, Petter Laake
ISBN: 9781315356556
Publisher: CRC Press
Publication: July 28, 2017
Imprint: Chapman and Hall/CRC
Language: English

Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables. For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated. Topics such as diagnostic accuracy, inter-rater reliability, and missing data are also covered. The presentation is concise and easily accessible for readers with diverse professional backgrounds, with the mathematical details kept to a minimum.

For more information, including a sample chapter and software, please visit the authors' website.

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Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables. For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated. Topics such as diagnostic accuracy, inter-rater reliability, and missing data are also covered. The presentation is concise and easily accessible for readers with diverse professional backgrounds, with the mathematical details kept to a minimum.

For more information, including a sample chapter and software, please visit the authors' website.

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