Logistic Regression

Discover the comprehensive insights of "Logistic Regression" by David G. Kleinbaum, a pivotal resource for anyone looking to master this essential statistical method. Published by Springer-Verlag New York Inc. in 2010, this third edition spans an impressive 702 pages, providing in-depth coverage of logistic regression techniques and applications.

This edition introduces three new chapters that enhance your understanding: Chapter 8 delves into additional modeling strategy issues, Chapter 9 focuses on assessing goodness of fit for logistic regression, and Chapter 10 evaluates the discriminatory performance of a binary logistic model through ROC curves. Each chapter is designed to equip readers with practical skills and knowledge, making it an invaluable tool for students, researchers, and professionals alike.

Whether you're a beginner or an experienced statistician, "Logistic Regression" is your go-to guide for navigating the complexities of this powerful analytical tool.