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Applied Logistic Regression
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Applied Logistic Regression
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
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See moreThis new edition provides a focused introduction to the LR model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariables.
Book Hero Magic formatted this description to make it easier to read. While it's new and
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Description
A new edition of the definitive guide to logistic regression modelling 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, emphasises 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.
Series: Wiley Series in Probability and Statistics
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Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Applied Logistic Regression is appreciated for its comprehensive index, which enhances ease of use through excellent cross-referencing. The book comes highly recommended, notably for those in scientific computing.
Book Details
INFORMATION
ISBN: 9780470582473
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 26 April 2013
Country: United States
Imprint: John Wiley & Sons Inc
Edition: 3rd edition
Illustration: Graphs: 100 B&W, 0 Color
Audience: Professional and scholarly
DIMENSIONS
Spine width: 31.0mm
Width: 159.0mm
Height: 236.0mm
Weight: 748g
Pages: 528
About the Author
DAVID W. HOSMER, Jr., PhD, is Professor Emeritus ofBiostatistics at the School of Public Health and Health Sciences atthe University of Massachusetts Amherst. STANLEY LEMESHOW, PhD, is Professor of Biostatistics andFounding Dean of the College of Public Health at The Ohio StateUniversity, Columbus, Ohio. RODNEY X. STURDIVANT, PhD, is Associate Professor andFounding Director of the Center for Data Analysis and Statistics atthe United States Military Academy at West Point, New York.
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