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Logistic Regression A Self-Learning Text: Stattistics for biology and health / David G. Kleinbaum, Mitchel Klein ; editores M. Gail [y otros cuatro] ; contribución Erica Rihl Pryor

By: Kleinbaum, David G.
Contributor(s): Klein, Mitchel [aut] | Krickeberg, K [edt] | Samet, Jonathan M [edt] | Tsiatis, A [edt] | Wong, W [edt] | Rihl Pryor, Erica [ctb].
New York, United States of America : Springer Science, 2010Edition: Third edition.Description: xvii, 701 páginas : Ejemplos, tablas ; 26 x 18 cm.Content type: txt Media type: Carrier type: ncISBN: 9781441917416.Subject(s): Análisis estadístico | Estadística de biología y salud | Modelos lineales | Modulo logísticoDDC classification: 519.536 /
Contents:
Chapter 1. Introduction to logistic regression -- Chapter 2. Important special cases of the logistic model -- Chapter 3. Computing the odds ratio in logistic regression -- Chapter 4. Maximum likelihood techniques: An overview -- Chapter 5. Statistical inferences using maximum likelihood techniques -- Chapter 6. Modeling strategy guidelines -- Chapter 7. Modeling strategy for assessing interaction and confounding -- Chapter 8. Additional modeling strategy issues -- Chapter 9. Assessing goodness of fit for logistic regression -- Chapter 10. Assessing discriminatory performance of a binary logistic model: ROC curves -- Chapter 11. Analysis of matched data using logistic regression -- Chapter 12. Polytomous logistic regression -- Chapter 13. Ordinal logistic regression -- Chapter 14. Logistic regression for correlated data: GEE -- Chapter 15. GEE examples -- Chapter 16. Other approaches for analysis of correlated data -- Appendix. Computer programs for logistic regression -- Test answers -- Bibliography -- Index.
Summary: This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses.
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Item type Current location Collection Call number Vol info Copy number Status Date due Barcode Item holds
Libros Libros Biblioteca Ciencias de la Salud
Book Cart 		General 519.536 / K64l-03 (Browse shelf) 2010/third edition Ej.1 Available 8300007605
Total holds: 0
Browsing Biblioteca Ciencias de la Salud Shelves , Shelving location: Book Cart , Collection code: General Close shelf browser
364.9861 / I57f-2007 Forensis 2007 : datos para la vida 510 H392d Dios creó los números 519.5 / AL365u-02 Using IBM® SPSS® Statistics: 519.536 / K64l-03 Logistic Regression A Self-Learning Text: 530 H392a A hombros de gigantes 530 H392l La gran ilusión 570 / C978b-07 Biología

Este material bibliográfico se encuentra ubicado en la colección general, circulación y préstamo, biblioteca facultad de salud.

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Chapter 1. Introduction to logistic regression -- Chapter 2. Important special cases of the logistic model -- Chapter 3. Computing the odds ratio in logistic regression -- Chapter 4. Maximum likelihood techniques: An overview -- Chapter 5. Statistical inferences using maximum likelihood techniques -- Chapter 6. Modeling strategy guidelines -- Chapter 7. Modeling strategy for assessing interaction and confounding -- Chapter 8. Additional modeling strategy issues -- Chapter 9. Assessing goodness of fit for logistic regression -- Chapter 10. Assessing discriminatory performance of a binary logistic model: ROC curves -- Chapter 11. Analysis of matched data using logistic regression -- Chapter 12. Polytomous logistic regression -- Chapter 13. Ordinal logistic regression -- Chapter 14. Logistic regression for correlated data: GEE -- Chapter 15. GEE examples -- Chapter 16. Other approaches for analysis of correlated data -- Appendix. Computer programs for logistic regression -- Test answers -- Bibliography -- Index.

This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses.

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