Overview
A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-the-art techniques for building, interpreting, and assessing the performance of LR models. New and updated features include: A chapter on the analysis of correlated outcome data A wealth of additional material for topics ranging from Bayesian methods to assessing model fit Rich data sets from real-world studies that demonstrate each method under discussion Detailed examples and interpretation of the presented results as well as exercises throughout Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences as well as a wide range of other fields and disciplines.
Full Product Details
Author: David W. Hosmer, Jr. (University of Massachusetts, Amherst, MA) ,
Stanley Lemeshow (The Ohio State University (OSU), Columbus, OH) ,
Rodney X. Sturdivant (Center for Data Analysis and Statistics at the United States Military Academy in West Point, NY)
Publisher: John Wiley & Sons Inc
Imprint: John Wiley & Sons Inc
Edition: 3rd edition
Dimensions:
Width: 15.90cm
, Height: 3.10cm
, Length: 23.60cm
Weight: 0.748kg
ISBN: 9780470582473
ISBN 10: 0470582472
Pages: 528
Publication Date: 26 April 2013
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Available To Order
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Reviews
In conclusion, the index was mercifully complete, and all items searched for were found (nice cross-referencing too) In summary: Highly recommended. ( Scientific Computing , 1 May 2013)
In conclusion, the index was mercifully complete, and all items searched for were found (nice cross-referencing too) In summary: Highly recommended. (Scientific Computing, 1 May 2013)
Author Information
DAVID W. HOSMER, Jr., PhD, is Professor Emeritus of Biostatistics at the School of Public Health and Health Sciences at the University of Massachusetts Amherst. STANLEY LEMESHOW, PhD, is Professor of Biostatistics and Founding Dean of the College of Public Health at The Ohio State University, Columbus, Ohio. RODNEY X. STURDIVANT, PhD, is Associate Professor and Founding Director of the Center for Data Analysis and Statistics at the United States Military Academy at West Point, New York.
