Description
**A Comprehensive New Edition of a Key Reference Guide**
The field of statistical methods for categorical data is rapidly expanding, especially within biomedical and social science contexts. An Introduction to Categorical Data Analysis, 3rd Edition (PDF) effectively consolidates these essential methods, equipping readers with the skills to implement them using various software applications. College students and aspiring statisticians will appreciate the unified approach to generalized linear models, seamlessly linking logistic regression and log-linear models for discrete data with conventional regression techniques for continuous data.
This new 3rd edition is packed with enhanced features that significantly elevate its value:
• Comprehensive illustrations demonstrating the use of R software for performing all analyses featured in the ebook.
• Newly added sections across multiple chapters that introduce the Bayesian perspective for each outlined method, broadening the reader’s analytical toolkit.
• An informative appendix detailing procedures for utilizing other statistical software tools, including Stata, SAS, and SPSS, in addition to a solutions appendix providing short answers to most odd-numbered exercises.
• Over 70 detailed analyses of diverse data sets to showcase the practical application of the methods, alongside approximately 200 exercises, many accompanied by supplementary data sets.
• A groundbreaking chapter dedicated to alternative techniques for analyzing categorical data, encompassing smoothing and regularization methods such as the lasso, various classification methods including linear discriminant analysis and classification trees, and cluster analysis.
Written in an accessible and applied style, this ebook An Introduction to Categorical Data Analysis, 3e highlights the methods using a rich array of real-world data, covering topics from environmental issues and teenage drug use to medical clinical trials, basketball shooting statistics, determinants of happiness, horseshoe crab mating behaviors, and beyond.
An Introduction to Categorical Data Analysis, Third Edition serves as an indispensable resource for biostatisticians, statisticians, and methodologists across various fields, including social and behavioral sciences, medicine, public health, education, marketing, biological sciences, and agriculture.
NOTE: This purchase includes only the ebook An Introduction to Categorical Data Analysis 3rd edition in PDF format. Access codes are not included.









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