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Interpreting and Visualizing Regression Models Using Stata,Used
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Michael Mitchell's Interpreting and Visualizing Regression Models Using Stata is a clear treatment of how to carefully present results from modelfitting 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 applied meaning of interactions in nonlinear models such as logistic regression. The tools in Mitchell's book make this task much more enjoyable and comprehensible.Mitchell starts with simple linear regression (which is simple in all ways), and then adds polynomials and discontinuities. This is followed by 2way and 3way interaction until interpretation of coefficients through words is difficult. By careful use of Stata's marginsplot command, Mitchell shows how well graphs can be used to show effects. He also includes careful verbal interpretation of coefficients to make communications complete. He then extends the methods from linear regression to various types of nonlinear regression, such as multilevel or survival models.A significant difference between this book and most others on regression models is that Mitchell spends quite some time on fitting and visualizing discontinuous models' models where the outcome can change value suddenly at thresholds. Such models are natural in settings such as education and policy evaluation, where graduation or policy changes can make sudden changes in income or revenue.This book is a worthwhile addition to the library of anyone involved in statistical consulting, teaching, or collaborative applied statistical environments.
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- Q: What is the main focus of 'Interpreting and Visualizing Regression Models Using Stata'? A: The book focuses on presenting results from regression models clearly and effectively using Stata, making complex statistical concepts understandable for various audiences.
- Q: Who is the author of this book? A: The author is Michael N. Mitchell, a knowledgeable figure in the field of statistics.
- Q: What topics are covered in this book? A: Topics include simple linear regression, polynomial regression, interactions, nonlinear models, and visualizing results using Stata's marginsplot command.
- Q: Is this book suitable for beginners in statistics? A: Yes, it starts with simple linear regression and gradually progresses to more complex models, making it accessible for beginners.
- Q: How many pages does the book have? A: The book has a total of 558 pages.
- Q: What is the condition of the used book? A: The condition of the used book is described as 'Good'.
- Q: What is the publication date of this book? A: The book was published on April 19, 2012.
- Q: Does the book include visual aids? A: Yes, it includes graphs and visual aids to help clarify the interpretation of regression results.
- Q: What type of binding does the book have? A: The book is available in paperback binding.
- Q: Can this book help with understanding nonlinear regression models? A: Yes, it extends methods from linear regression to various types of nonlinear regression models, providing essential insights.