Applied Categorical and Count Data Analysis

The book "Applied Categorical and Count Data Analysis, Second Edition" is a comprehensive guide to performing statistical analysis of discrete data, including categorical and count outcomes. It is developed by the authors from their graduate-level biostatistics course and is suitable for a one-semester course for graduate and senior undergraduate students in biostatistics. The book covers classic concepts and popular topics, such as contingency tables, logistic regression models, and Poisson regression models, as well as modern areas such as models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to experiment with the data and apply the codes to their own studies.

Format: Hardback
Length: 381 pages
Publication date: 06 April 2023
Publisher: Taylor & Francis Ltd

This comprehensive textbook, developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition, offers a comprehensive guide to performing statistical analysis on discrete data, encompassing categorical and count outcomes. With over a decade of experience teaching categorical data analysis courses at prestigious universities like the University of Rochester and Tulane University, the authors bring their expertise and insights to this invaluable resource.

The book aims to provide a solid foundation in statistical methodologies for categorical and count data without delving into rigorous mathematical arguments. It begins by introducing the fundamental concepts and models, including contingency tables, logistic regression models, and Poisson regression models, while also exploring modern areas such as models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for handling missing values.

To facilitate readers' understanding and practical application of the material, the second edition includes R, SAS, SPSS, and Stata programming codes for all examples. This allows readers to experiment with the data and even adapt or extend the codes to fit their own research studies.

Designed as a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also an excellent self-learning guide for biomedical and psychosocial researchers. It empowers readers to analyze data with discrete variables across a wide range of biomedical and psychosocial research fields.

Key Features:

Comprehensive Coverage: The textbook provides a detailed overview of statistical concepts and models for discrete data analysis, covering both classical and contemporary topics.

Practical Application: Each chapter includes practical examples and exercises to help readers apply the learned concepts to real-world data sets.

User-Friendly Approach: The authors' clear and concise writing style makes the text accessible to students with varying backgrounds in statistics and mathematics.

Extensive Programming Support: R, SAS, SPSS, and Stata programming codes are provided for all examples, enabling readers to experiment with the data and apply the statistical techniques discussed in the book.

Versatile Audience: The textbook is suitable for a one-semester course for graduate and senior undergraduate students in biostatistics, as well as for self-learning by biomedical and psychosocial researchers interested in analyzing discrete data.

By offering a comprehensive and practical guide to statistical analysis of discrete data, Applied Categorical and Count Data Analysis, Second Edition empowers readers to make informed decisions based on data-driven insights. Whether you are a student, researcher, or professional in the field, this textbook is an essential resource for advancing your understanding and expertise in statistical methodologies for categorical and count data.

Weight: 870g
Dimension: 183 x 261 x 27 (mm)
ISBN-13: 9780367568276
Edition number: 2 ed