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This text presents an overview of the full range of logistic models, including binary, proportional, ordered, and categorical response regression procedures. It illustrates how to apply the models to medical, health, environmental/ecological, physical, and social science data. Stata is used to develop, evaluate, and display most models while R code is given at the end of most chapters. The author examines the theoretical foundation of the models and describes how each type of model is established, interpreted, and evaluated as to its goodness of fit. Example data sets are available online in various formats and a solutions manual is available for qualifying instructors.
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Logistic Regression Models
June 15, 2009, Chapman & Hall/CRC, Chapman and Hall/CRC
Hardcover
in English
1420075756 9781420075755
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Logistic Regression Models presents an overview of the full range of logistic based models, including binary, proportional, ordered, and categorical response regression procedures. It illustrates how to apply the models to medical, health, environmental, physical, and social science data. At 656 pages in length, the text is the most comprehensive resource on logistic-based models available. Examples are given using both Stata and R code. A 187 page Solutions Manual is freely available for qualified instructors.
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