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Regression Models for Categorical Dependent Variables Using Stata, Second Edition

J. Scott Long, Jeremy Freese




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 | #960695 in Books |  Stata Press |  2005-11-15 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  1.17 x7.28 x9.30l,2.46 | File type: PDF | 527 pages

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||1 of 1 people found the following review helpful.| THE book for categorical outcomes (but TERRIBLE binding)|By Chance|This is the first of several reference books on regression I turn to when dealing with categorical outcome variables. It's a highly readable text, with a good balance of technical detail and straightforward interpretation. If a scholar needs to conduct a binary logit, ordered logit, multinomial logit, Poisson, o

Although regression models for categorical dependent variables are common, few texts explain how to interpret such models. Regression Models for Categorical Dependent Variables Using Stata, Second Edition, fills this void, showing how to fit and interpret regression models for categorical data with Stata. The authors also provide a suite of commands for hypothesis testing and model diagnostics to accompany the book.

The book begins with an excellent introduction ...

You can specify the type of files you want, for your device.Regression Models for Categorical Dependent Variables Using Stata, Second Edition   |  J. Scott Long, Jeremy Freese. I was recommended this book by a dear friend of mine.

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