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Interpreting and Visualizing Regression Models Using Stata

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  • Michael N. Mitchell
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    Abstract

    Michael Mitchell’s Interpreting and Visualizing Regression Models Using Stata is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is a boon to anyone who has to present the tangible meaning of a complex model in a clear fashion, regardless of the audience. As an example, many experienced researchers start to squirm when asked to give a simple explanation of the practical meaning of interactions in nonlinear models such as logistic regression. The techniques presented in Mitchell's book make answering those questions easy. The overarching theme of the book is that graphs make interpreting even the most complicated models containing interaction terms, categorical variables, and other intricacies straightforward.

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    File URL: http://stata-press.com/books/interpreting-visualizing-regression-models/
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    File URL: http://stata-press.com/books/ivrm-preface.pdf
    File Function: downloadable preface
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    Bibliographic Info

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    This book is provided by StataCorp LP in its series Stata Press books with number ivrm and published in 2012.

    ISBN: 978-1-59718-107-5
    Order: http://stata-press.com/books/interpreting-visualizing-regression-models/
    Handle: RePEc:tsj:spbook:ivrm

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    Web page: http://www.stata-press.com/

    Related research

    Keywords: Stata; regression; marginal effects; predictions;

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    Cited by:
    1. Lam, Marcus & Klein, Sacha & Freisthler, Bridget & Weiss, Robert E., 2013. "Child center closures: Does nonprofit status provide a comparative advantage?," Children and Youth Services Review, Elsevier, vol. 35(3), pages 525-534.

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