Applied logistic regression. David W. Hosmer, Stanley Lemeshow, Rodney X. Sturdivant.
Material type:
TextSeries: Wiley series in probability and statisticsPublisher: Hoboken, New Jersey : Wiley, 2013Edition: 3rd edDescription: xvi, 500 p. : ill. ; 25 cmContent type: - text
- unmediated
- volume
- 9780470582473
- QA 278.2 .H794 2013
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Graduate Studies
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DLSU-D GRADUATE STUDIES Graduate Studies | Graduate Studies | QA 278.2 .H794 2013 (Browse shelf(Opens below)) | Available | 3AEA2014004056 |
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| QA 278 .Af42 2012 Practical multivariate analysis / | QA 278 .K586 2015 Cluster analysis and data mining : | QA 278 .P289 2015 Modelling and analysis of compositional data / | QA 278.2 .H794 2013 Applied logistic regression. | QA 279.2 .C55 2018 Predictive statistics : | QA 279.4 .G378 2011 Making better decisions : | QA 280 .G942 2018 Essentials of time series for financial applications / |
Includes bibliographical references (pages 459-478) and index.
"A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis 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"--
"This Third Edition continues to focus on applications and interpretation of results from fitting regression models to categorical response variables"--
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