Applied Logistic Regression (Wiley Series in Probability and Statistics) 3rd Edition

Applied Logistic Regression, 3rd Edition provides a comprehensive and practical guide to logistic regression modeling, with a focus on applications in health sciences, public health, and social sciences. This edition offers clear explanations on building, interpreting, and assessing logistic regression models, highlighting their use in examining relationships between dichotomous outcomes and covariates.

The book includes updated material on correlated outcomes, Bayesian methods, model fit assessment, and real-world datasets that illustrate each technique. Detailed examples, step-by-step interpretation, and exercises throughout support understanding and application.

Ideal for professionals, researchers, and students, this edition serves as an essential reference for modeling nominal or ordinal outcome variables across a wide range of disciplines.