Applied Logistic Regression /
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...
| Main Authors: | , , |
|---|---|
| Format: | |
| Language: | eng |
| Published: |
Hoboken : Wiley,
2013
|
| Subjects: |
| _version_ | 1796745996980453376 |
|---|---|
| author | 348698 Hosmer, David W. Lemeshow, Stanley. Sturdivant, Rodney X. |
| author_facet | 348698 Hosmer, David W. Lemeshow, Stanley. Sturdivant, Rodney X. |
| author_sort | 348698 Hosmer, David W. |
| collection | OCEAN |
| description | 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 Provided by publisher. |
| first_indexed | 2024-03-05T12:48:02Z |
| format | |
| id | KOHA-OAI-TEST:486003 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T12:48:02Z |
| publishDate | 2013 |
| publisher | Hoboken : Wiley, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:4860032020-12-19T17:17:56ZApplied Logistic Regression / 348698 Hosmer, David W. Lemeshow, Stanley. Sturdivant, Rodney X. Hoboken : Wiley,2013.engA 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 Provided by publisher.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 Provided by publisher.PSZJBLRegression analysis.URN:ISBN:9780470582473URN:ISBN: |
| spellingShingle | Regression analysis. 348698 Hosmer, David W. Lemeshow, Stanley. Sturdivant, Rodney X. Applied Logistic Regression / |
| title | Applied Logistic Regression / |
| title_full | Applied Logistic Regression / |
| title_fullStr | Applied Logistic Regression / |
| title_full_unstemmed | Applied Logistic Regression / |
| title_short | Applied Logistic Regression / |
| title_sort | applied logistic regression |
| topic | Regression analysis. |
| work_keys_str_mv | AT 348698hosmerdavidw appliedlogisticregression AT lemeshowstanley appliedlogisticregression AT sturdivantrodneyx appliedlogisticregression |