Logistic Regression Models
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Word Count
164,000 words, Guess
Page Count
656 pages
Physical Format
Hardcover
Identifiers
- ISBN-101420075756
- ISBN-139781420075755
- Goodreads2787674
- LibraryThing8103478
- Library of Congress Control Number2008042667
and 4 more
- OCLC Control Number226357303
- Better World Books9781420075755
- Better World BooksP8-CTW-433
- Open LibraryOL11817422M
Classifications
- LCCQA278.2 .H53 2009
- LCCQA278.2.H53 2009
Description
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.
Description
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.
Subjects
Other Editions
- Logistic Regression Models
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