Applied Logistic Regression

About this book

In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.

Contents

Introduction to the Logistic Regression Model; Multiple Logistic Regression; Interpretation of the Fitted Logistic Regression Model; Model-Building Strategies and Methods for Logistic Regression; Assessing the Fit of the Model; Application of Logistic Regression with Different Sampling Models; Logistic Regression for Matched Case-Control Studies; Special Topics; References; Index.

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Biography

DAVID W. HOSMER, PhD, is Professor of Biostatistics at the School of Public Health and Health Sciences at the University of Massachusetts at Amherst. STANLEY LEMESHOW, PhD, is Professor of Biostatistics and Director of the Biostatistics Program at The Ohio State University.