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Applied Logistic Regression - 2nd edition

Applied Logistic Regression (ISBN10: 0471356328; ISBN13: 9780471356325)
ISBN13: 978-0471356325
ISBN10: 0471356328

Summary: The logistic regression (LR) model has been in use in statistical analyses for many years; but it was not until the late 1960's that a model was used to provide a multivariate analysis of the Framingham heart study data that its full power and applicability were totally appreciated. Since then the LR model has become the standard method for regression analysis of dichotomous data in many fields, especially in the health sciences. This new and updated edition of the c
lassic bestseller provides a focused introduction to the LR model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariables. In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly 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. Hosmer and Lemeshow 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 a wealth of real-world examples--with extensive data sets available over the Internet.
...show more
Summary: The logistic regression (LR) model has been in use in statistical analyses for many years; but it was not until the late 1960's that a model was used to provide a multivariate analysis of the Framingham heart study data that its full power and applicability were totally appreciated. Since then the LR model has become the standard method for regression analysis of dichotomous data in many fields, especially in the health sciences. This new and updated edition of the classic bestseller provides a focused introduction to the LR model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariables. In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly 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. Hosmer and Lemeshow 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 a wealth of real-world examples--with extensive data sets available over the Internet. ...show less

Edition/Copyright: 2ND 00
Cover:
Publisher: John Wiley & Sons, Inc.
Year Published: 1988
International: No

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