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Praise for the Second Edition'A musthave book for anyone expecting to do research and/or applications in categorical data analysis.'Statistics in Medicine'It is a total delight reading this book.'Pharmaceutical Research'If you do any analysis of categorical data, this is an essential desktop reference.'TechnometricsThe use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis.Categorical Data Analysis, Third Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial loglinear models for discrete data with normal regression for continuous data. This edition also features: An emphasis on logistic and probit regression methods for binary, ordinal, and nominal responses for independent observations and for clustered data with marginal models and random effects models Two new chapters on alternative methods for binary response data, including smoothing and regularization methods, classification methods such as linear discriminant analysis and classification trees, and cluster analysis New sections introducing the Bayesian approach for methods in that chapter More than 100 analyses of data sets and over 600 exercises Notes at the end of each chapter that provide references to recent research and topics not covered in the text, linked to a bibliography of more than 1,200 sources A supplementary website showing how to use R and SAS; for all examples in the text, with information also about SPSS and Stata and with exercise solutionsCategorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control.
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- Q: What is the main focus of 'Categorical Data Analysis'? A: The book primarily focuses on statistical methods for analyzing categorical data, with particular emphasis on logistic and probit regression methods.
- Q: Who is the author of 'Categorical Data Analysis'? A: The book is authored by Alan Agresti, a prominent statistician known for his work in categorical data analysis.
- Q: How many pages does 'Categorical Data Analysis' have? A: 'Categorical Data Analysis' contains a total of 752 pages, providing extensive coverage of the topic.
- Q: Is 'Categorical Data Analysis' suitable for beginners? A: While it is comprehensive, it is best suited for those with a foundational understanding of statistics, as it covers advanced methods and techniques.
- Q: What edition is 'Categorical Data Analysis'? A: This is the third edition of 'Categorical Data Analysis', published on December 3, 2012.
- Q: Does the book include exercises for practice? A: Yes, it includes over 600 exercises and more than 100 analyses of data sets to reinforce learning.
- Q: Are there any supplementary materials available with the book? A: Yes, there is a supplementary website that provides information on using R and SAS, along with exercise solutions.
- Q: What are the key features of the third edition? A: The third edition features new chapters on alternative methods for binary response data and introduces Bayesian approaches to certain methods.
- Q: What fields can benefit from reading this book? A: This book is valuable for statisticians, biostatisticians, and researchers in social sciences, medicine, finance, and many other fields.
- Q: What type of binding does the book have? A: 'Categorical Data Analysis' is available in hardcover binding, enhancing its durability for reference use.