Applied Logistic Regression

Discover the essential insights of logistic regression with the third edition of Applied Logistic Regression by David W. Hosmer Jr., Stanley Lemeshow, and Rodney X. Sturdivant. Published by John Wiley & Sons Inc in 2013, this comprehensive hardback edition spans 528 pages, making it an invaluable resource for both beginners and seasoned practitioners.

This updated edition offers a focused introduction to the logistic regression model, emphasizing its application in modeling the relationship between a binary outcome variable and various covariates. With clear explanations and practical examples, Applied Logistic Regression equips readers with the necessary tools to effectively analyze data and draw meaningful conclusions. Perfect for students, researchers, and professionals in statistics, biostatistics, and related fields, this book is a must-have for anyone looking to deepen their understanding of logistic regression techniques.