Interpreting and visualizing regression models using stata
Publication details: Texas Stata Press 2012Description: xxv, 558 pISBN: 9781597181075Subject(s): Mathematics - Statistics | Regression analysis - Computer simulation | StataDDC classification: 519.536 Summary: 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. (http://www.stata.com/bookstore/interpreting-visualizing-regression-models/)Item type | Current library | Item location | Collection | Shelving location | Call number | Status | Date due | Barcode |
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Books | Vikram Sarabhai Library | Rack 28-B / Slot 1427 (0 Floor, East Wing) | Non-fiction | General Stacks | 519.536 M4I6 (Browse shelf(Opens below)) | Available | 178154 |
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. (http://www.stata.com/bookstore/interpreting-visualizing-regression-models/)
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