Non-Fiction Books:

Applied Categorical and Count Data Analysis

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Applied Categorical and Count Data Analysis by Wan Tang
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In addition to traditional topics like logistic and Poisson regression models, this book covers modern statistical analysis subjects, such as models for count variables, longitudinal data analysis, reliability analysis, and methods for dealing with missing values. It pays special attention to small samples by including exact methods for inference where possible. The authors analyze dependent outcomes from clustered and longitudinal study designs using the generalized linear mixed-effects model and weighted generalized estimating equations. They also include SAS, SPSS, and R codes for implementation of the methods discussed.

Author Biography

Wan Tang, Hua He, and Xin Tu, University of Rochester, New York, USA
Release date Australia
July 4th, 2012
Country of Publication
United Kingdom
28 Tables, black and white; 7 Illustrations, black and white
Whittles Publishing
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