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Logistic regression : a self-learning text

Autor David G. Kleimbaum

Editorial COPERNICUS BOOKS

Logistic regression : a self-learning text
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  • Editorial COPERNICUS BOOKS
  • ISBN13 9780387941424
  • ISBN10 0387941428
  • Tipo Libro
  • Páginas 282
  • Colección Statistics in health sciences
  • Año de Edición 1994
  • Idioma Inglés
  • Encuadernación Tela

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Logistic regression : a self-learning text

Autor David G. Kleimbaum

Editorial COPERNICUS BOOKS

-5% dto.    67,55€
64,17€
Ahorra 3,38€
No disponible, consulte disponibilidad
Envío gratis
España peninsular
Envío GRATUITO a partir de 19€

a España peninsular

Envíos en 24/48h

-5% dto en todos los libros

Recogida GRATUITA en Librería

¡Ven y déjate sorprender!

Detalles del libro

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

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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