Statistical Analysis of Contingency Tables

Stian Lydersen

ISBN 10: 0367495260 / ISBN 13: 9780367495268

Published by Chapman And Hall/CRC, 2020

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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 For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated.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.

Seller Inventory # 9780367495268

Bibliographic Details

• Title: Statistical Analysis of Contingency Tables
• Publisher: Chapman And Hall/CRC
• Publication Date: 2020
• Language: English
• ISBN 10: 0367495260
• ISBN 13: 9780367495268
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 35D millimeters 234 millimeters width by 156 millimeters height by 35 millimeters depth
• Weight: 983 grams

About this title

Synopsis

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 For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated.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.

About the Author

Morten W. Fagerland, Ph.D. is Head of the Section for Biostatistics, Epidemiology, and Health Economics at Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Norway.

Stian Lydersen, Ph.D. is a Professor of Medical Statistics at Regional Centre for Child and Youth Mental Health and Child Welfare, Norwegian University of Science and Technology, Trondheim, Norway.

Petter Laake, Ph.D. is a Professor of Medical Statistics at the Department of Biostatistics at Oslo Centre for Biostatistics and Epidemiology, University of Oslo, Norway.