Applied Logistic Regression

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Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2013-02-26

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Description
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.
Pages
528 pages
Collection
Wiley Series in Probability and Statistics
Parution
2013-02-26
Marque
Wiley
EAN papier
9780470582473
EAN PDF
9781118548394

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
528
Taille du fichier
9114 Ko
Prix
151,87 €
EAN EPUB
9781118548356

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
528
Taille du fichier
22149 Ko
Prix
151,87 €