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Logistic Regression - Kleinbaum, David G.; Klein, Mitchel
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Kleinbaum, David G.; Klein, Mitchel:
Logistic Regression - Paperback

2009, ISBN: 0387891951, Lieferbar binnen 4-6 Wochen Shipping costs:Versandkostenfrei innerhalb der BRD

ID: 9780387891958

Internationaler Buchtitel. In englischer Sprache. Verlag: SPRINGER VERLAG GMBH, 532 Seiten, L=210mm, B=280mm, H=27mm, Gew.=1184gr, [GR: 26930 - TB/Allgemeinmedizin/Diagnostik/Therapie], [SW: - Medical / Nursing], Kartoniert/Broschiert, [Ausgabe: 0002] This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture- book" has a sequence of illustrations and formulae in the left column of each page and a script (i.e., text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This second edition includes five new chapters and an appendix. The new chapters are: Chapter 9. Polytomous Logistic Regression; Chapter 10. Ordinal Logistic Regression; Chapter 11. Logistic Regression for Correlated Data: GEE; Chapter 12. GEE Examples; Chapter 13. Other Approaches for Analysis of Correlated Data. Chapters 9 and 10 extend logistic regression to response variables that have more than two categories. Chapters 11-13 extend logistic regression to generalized estimating equations (GEE) and other methods for analyzing correlated response data. The appendix "Computer Programs for Logistic Regression" provides descriptions and examples of computer programs for carrying out the variety of logistic regression procedures described in the main text. The software packages considered are SAS® Version 8.0, SPSS® Version 10.0 and STATA Version 7.0. TOC:Introduction to Logistic Regression.- Important Special Cases of the Logistic Model.- Computing the Odds Ratio in Logistic Regression.- Maximum Likelihood Techniques: An Overview.- Statistical Inferences Using Maximum Likelihood Techniques.- Modeling Strategy Guidelines.- Modeling Strategy for Assessing Interaction and Confounding.- Analysis of Matched Data Using Logistic Regression.- Polytomous Logistic Regression.- Ordinal Logistic Regression.- Logistic Regression for Correlated Data: GEE.- GEE Examples.- Other Approaches for Analysis of Correlated Data.- Appendix: Computer Programs for Logistic Regression.- Test Answers.- Bibliography.- Index.

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Logistic Regression - Kleinbaum, David G.; Klein, Mitchel
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Kleinbaum, David G.; Klein, Mitchel:
Logistic Regression - Paperback

ISBN: 9780387891958

[ED: Taschenbuch], [PU: SPRINGER VERLAG GMBH], This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture- book" has a sequence of illustrations and formulae in the left column of each page and a script (i.e., text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This second edition includes five new chapters and an appendix. The new chapters are: Chapter 9. Polytomous Logistic Regression; Chapter 10. Ordinal Logistic Regression; Chapter 11. Logistic Regression for Correlated Data: GEE; Chapter 12. GEE Examples; Chapter 13. Other Approaches for Analysis of Correlated Data. Chapters 9 and 10 extend logistic regression to response variables that have more than two categories. Chapters 11-13 extend logistic regression to generalized estimating equations (GEE) and other methods for analyzing correlated response data. The appendix "Computer Programs for Logistic Regression" provides descriptions and examples of computer programs for carrying out the variety of logistic regression procedures described in the main text. The software packages considered are SAS® Version 8.0, SPSS® Version 10.0 and STATA Version 7.0. TOC:Introduction to Logistic Regression.- Important Special Cases of the Logistic Model.- Computing the Odds Ratio in Logistic Regression.- Maximum Likelihood Techniques: An Overview.- Statistical Inferences Using Maximum Likelihood Techniques.- Modeling Strategy Guidelines.- Modeling Strategy for Assessing Interaction and Confounding.- Analysis of Matched Data Using Logistic Regression.- Polytomous Logistic Regression.- Ordinal Logistic Regression.- Logistic Regression for Correlated Data: GEE.- GEE Examples.- Other Approaches for Analysis of Correlated Data.- Appendix: Computer Programs for Logistic Regression.- Test Answers.- Bibliography.- Index. Versandfertig in über 4 Wochen, [SC: 0.00]

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Logistic Regression - David G. Kleinbaum, Mitchel Klein
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David G. Kleinbaum, Mitchel Klein:
Logistic Regression - Paperback

ISBN: 0387891951

Broschiert, [EAN: 9780387891958], Springer Verlag Gmbh, Englisch, Englisch, Englisch, Springer Verlag Gmbh, Book, Springer Verlag Gmbh, Springer Verlag Gmbh, 69176011, Statistik, 69108011, Sozialwissenschaften, 69028011, Sachbücher, 54071011, Genres, 52044011, Englische & weitere fremdsprachige Bücher, 56748011, Infektionskrankheiten, 56740011, Innere Medizin, 56535011, Medizin, 54071011, Genres, 52044011, Englische & weitere fremdsprachige Bücher, 56659011, Forschung, 56535011, Medizin, 54071011, Genres, 52044011, Englische & weitere fremdsprachige Bücher, 208623031, Taschenbuch, 208621031, Format (binding_browse-bin), 366250011, Refinements, 52044011, Englische & weitere fremdsprachige Bücher

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Logistic Regression - David G Kleinbaum; Mitchel Klein
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David G Kleinbaum; Mitchel Klein:
Logistic Regression - Paperback

2009, ISBN: 9780387891958

ID: 18831156

2, Softcover, Buch, [PU: Springer]

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Details of the book

This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture- book" has a sequence of illustrations and formulae in the left column of each page and a script (i.e., text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This second edition includes five new chapters and an appendix. The new chapters are: Chapter 9. Polytomous Logistic Regression; Chapter 10. Ordinal Logistic Regression; Chapter 11. Logistic Regression for Correlated Data: GEE; Chapter 12. GEE Examples; Chapter 13. Other Approaches for Analysis of Correlated Data. Chapters 9 and 10 extend logistic regression to response variables that have more than two categories. Chapters 11-13 extend logistic regression to generalized estimating equations (GEE) and other methods for analyzing correlated response data. The appendix "Computer Programs for Logistic Regression" provides descriptions and examples of computer programs for carrying out the variety of logistic regression procedures described in the main text. The software packages considered are SAS® Version 8.0, SPSS® Version 10.0 and STATA Version 7.0. TOC:Introduction to Logistic Regression.- Important Special Cases of the Logistic Model.- Computing the Odds Ratio in Logistic Regression.- Maximum Likelihood Techniques: An Overview.- Statistical Inferences Using Maximum Likelihood Techniques.- Modeling Strategy Guidelines.- Modeling Strategy for Assessing Interaction and Confounding.- Analysis of Matched Data Using Logistic Regression.- Polytomous Logistic Regression.- Ordinal Logistic Regression.- Logistic Regression for Correlated Data: GEE.- GEE Examples.- Other Approaches for Analysis of Correlated Data.- Appendix: Computer Programs for Logistic Regression.- Test Answers.- Bibliography.- Index.

Details of the book - Logistic Regression


EAN (ISBN-13): 9780387891958
ISBN (ISBN-10): 0387891951
Paperback
Publishing year: 2009
Publisher: SPRINGER VERLAG GMBH
532 Pages
Weight: 1,184 kg
Language: eng/Englisch

Book in our database since 14.02.2011 11:18:21
Book found last time on 12.10.2011 14:00:03
ISBN/EAN: 9780387891958

ISBN - alternate spelling:
0-387-89195-1, 978-0-387-89195-8


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