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Applied Categorical and Count Data Analysis

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Applied Categorical and Count Data Analysis

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Description

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
June 4th, 2012
Audiences
  • General (US: Trade)
  • Tertiary Education (US: College)
Country of Publication
United States
Illustrations
28 Tables, black and white; 7 Illustrations, black and white
Imprint
Taylor & Francis Inc
Pages
384
Publisher
Taylor & Francis Inc
Dimensions
156x234x27
ISBN-13
9781439806241
Product ID
3805968

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