Title: Applied Regression Analysis and Other Multivariable Methods, 5th Edition
Author: David G. Kleinbaum, Lawrence L. Kupper, Keith E. Muller, Azhar Nizam
Publisher: Cengage Learning; 5th edition
Description:
“Applied Regression Analysis and Other Multivariable Methods,” authored by David G. Kleinbaum, Lawrence L. Kupper, Keith E. Muller, and Azhar Nizam, now in its 5th Edition, provides a comprehensive and practical guide to regression analysis and other multivariable statistical methods. This edition offers a thorough treatment of regression techniques, including linear, multiple, logistic, and non-linear regression models, as well as advanced topics such as survival analysis and generalized estimating equations. Through a blend of theory, examples, and exercises, the authors illustrate how to apply these methods to analyze real-world data in various fields, including epidemiology, public health, social sciences, and business. With its accessible writing style and emphasis on practical applications, this edition serves as an invaluable resource for students, researchers, and practitioners seeking to master the principles and techniques of multivariable statistical analysis. Whether used in the classroom or for self-study, this book remains a trusted reference for anyone involved in data analysis and research.