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Applied logistic regression / David W. Hosmer, Stanley Lemeshow.

Por: Hosmer, David W.
Colaborador(es): Lemeshow, Stanley.
Tipo de material: materialTypeLabelLibroSeries Wiley series in probability and statisticsTexts and references section.Editor: New York : Wiley, c2000Edición: 2nd ed.Descripción: xii, 373 p. : ill. ; 25 cm.ISBN: 0471356328 (cloth : alk. paper); 9780471356325 (cloth : alk. paper).Tema(s): Regression analysis | Regression Analysis | Models, Statistical | Regressieanalyse | Analyse de régression | Régression logistique | Logística (estatística) | Estatística aplicada | Análise de regressão e de correlaçãoClasificación CDD: 519.5/36 Otra clasificación: 31.73 Recursos en línea: Connect to contributor biographical information online. | Connect to publisher description online. | Connect to table of contents online.
Contenidos:
Introduction to the logistic regression model -- Multiple logistic regression -- Interpretation of the fitted logistic regression model -- Model-building strategies and methods for logistic regression -- Assessing the fit of the model -- Application of logistic regression with different sampling models -- Logistic regression for matched case-control studies -- Special topics.
Resumen: In this revised and updated edition, the authors continue to provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. They extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by real-world examples-with extensive data sets available over the Internet.
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Libro Libro Biblioteca Central Tijuana
Acervo General QA37 H68 2000 (Navegar estantería) 1 Disponible TIJ072253

"A Wiley-Interscience publication."

Incluye referencias bibliográficas (p. 352-365) e índice.

Includes bibliographical references (p. 352-365) and index.

Introduction to the logistic regression model -- Multiple logistic regression -- Interpretation of the fitted logistic regression model -- Model-building strategies and methods for logistic regression -- Assessing the fit of the model -- Application of logistic regression with different sampling models -- Logistic regression for matched case-control studies -- Special topics.

In this revised and updated edition, the authors continue to provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. They extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by real-world examples-with extensive data sets available over the Internet.

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