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Logistic Regression (Statistics for Biology and Health) - Tapa blanda

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9781441929846: Logistic Regression (Statistics for Biology and Health)
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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.

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  • EditorialSpringer-Verlag New York Inc.
  • Año de publicación2009
  • ISBN 10 1441929843
  • ISBN 13 9781441929846
  • EncuadernaciónTapa blanda
  • Número de páginas527
  • Valoración
    • 4,26
      31 calificaciones proporcionadas por Goodreads

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Otras ediciones populares con el mismo título

9780387941424: Logistic regression: A self-learning text

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ISBN 10:  0387941428 ISBN 13:  9780387941424
Editorial: Springer Verlag, 2000
Tapa blanda

  • 9783540941422: Logistic Regression: A Self-learning Text (Statistics in the Health Sciences S.)

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