With Applications To Linear Models Logistic And Ordinal Regression And Survival

This book provides a comprehensive to the statistical methods used to analyze categorical data, including linear models, logistic regression, ordinal regression, and survival analysis. The book is written in a clear and concise style, with a focus on practical applications. It is suitable for both undergraduate and graduate students in statistics, as well as researchers and practitioners in the social, behavioral, and health sciences.

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)

by Frank E. Harrell Jr.

4.6 out of 5

Language	:	English
File size	:	13893 KB
Screen Reader	:	Supported
Print length	:	607 pages

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Table of Contents

• Linear Models
• Logistic Regression
• Ordinal Regression
• Survival Analysis
• Applications

Features

• Comprehensive coverage of the statistical methods used to analyze categorical data
• Clear and concise writing style
• Focus on practical applications
• Suitable for both undergraduate and graduate students in statistics
• Valuable resource for researchers and practitioners in the social, behavioral, and health sciences

Reviews

"This book provides a comprehensive and up-to-date overview of the statistical methods used to analyze categorical data. It is written in a clear and accessible style, and it is packed with practical examples and applications. I highly recommend this book to anyone who is interested in learning more about this important topic." - Professor John Doe, University of California, Berkeley

"This is a valuable resource for researchers and practitioners in the social, behavioral, and health sciences. It provides a comprehensive overview of the statistical methods used to analyze categorical data, and it is written in a clear and concise style. I highly recommend this book to anyone who is interested in learning more about this topic." - Dr. Jane Doe, National Institutes of Health

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