Statistical Analysis of Contingency

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 For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated.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

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.