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Applied Logistic Regression

Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Applied Logistic Regression by Rodney X. Sturdivant, David W. Hosmer, and Stanley Lemeshow is a comprehensive guide that delves into logistic regression, focusing on its practical application and interpretation in scientific research. This book offers an in-depth exploration of the statistical method, providing readers with techniques and tools necessary for effective model building and validation, as well as the ability to interpret results in real-world contexts. Ideal for researchers and practitioners, it balances theoretical foundations with applied examples.
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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?

This book may appeal to you if you're interested in mastering logistic regression analysis, offering detailed explanations and practical applications. It's an excellent resource for statisticians, data scientists, and researchers eager to enhance their understanding of statistical methods used for prediction and classification in science and nature fields.

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This 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 still learning, it may not be perfect - your feedback is welcome! 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 Hero reading reviews

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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