Practical Guide to Logistic Regression
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Practical Guide to Logistic Regression
Book Details:
• Publisher: CRC Press
• Author: Joseph M. Hilbe
• Edition: 1
• Binding: Paperback
• Number of Pages: 174
• ISBN: 9781498709576
• Language: English
• Cover: Paperback
• Dimensions: 8.5 x 5.5 x 0.7 inches
About the Book:
Practical Guide to Logistic Regression by Joseph M. Hilbe is an essential resource for anyone interested in learning the nuances of logistic regression, particularly for modeling binary response variables. This methodology is crucial for data analysis in fields such as health outcomes research, business analytics, data science, ecology, insurance, economics, and more.
Drawing on years of expertise, Professor Hilbe offers a clear, step-by-step guide for constructing logistic models, interpreting coefficients, and predicting probabilities. The book includes practical insights into observing and evaluating model fits using real data examples, primarily from health outcomes. Additionally, it covers advanced techniques like penalized logistic regression, Bayesian logistic regression, and the use of grouped logistic models.
The guide is designed to help analysts leverage logistic regression for better decision-making, prediction, and classification. For those using R statistical software, the book provides detailed examples, with SAS and Stata code also included for adaptation. All code examples are available on the author's website, making it a comprehensive and highly practical guide for both beginners and experienced data analysts.
