Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata,Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models,including linear models,multilevel models,nonlinear models,and models involving complex survey data. It also illustrates new and enhanced features added to Stata,such as labeling statistical output using value labels associated with factor variables and using transparency in graphics to more clearly visualize overlapping confidence intervals.

\n Format: Paperback / softback
\n Length: 610 pages
\n Publication date: 26 January 2021
\n Publisher: Stata Press
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Interpreting and Visualizing Regression Models Using Stata, Second Edition, is a comprehensive guide that provides clear and simple examples for interpreting and visualizing a wide range of regression models. With over 200 figures, the book illustrates linear models with continuous predictors modeled linearly, using polynomials, and piecewise, interactions of continuous predictors, categorical predictors, interactions of categorical predictors, and interactions of continuous and categorical predictors. Additionally, it covers multilevel models, models with time as a continuous predictor, models with time as a categorical predictor, nonlinear models such as logistic or ordinal logistic regression, and models involving complex survey data.

The examples in the book demonstrate the use of the margins, marginsplot, contrast, and pwcompare commands, which are essential tools for analyzing regression models. The new edition of the book reflects recent enhancements to Stata, including the ability to label statistical output using value labels associated with factor variables. This feature enhances the interpretation of results by providing intuitive labels for variables such as marital status instead of numeric values.

Moreover, the second edition showcases other valuable features, such as using transparency in graphics to more clearly visualize overlapping confidence intervals and using small sample-size estimation with mixed models. Whether you are a novice or an experienced user of Stata, this book offers valuable insights and practical advice for interpreting and visualizing regression models effectively.

\n Weight: 1274g\n
Dimension: 237 x 191 x 41 (mm)\n
ISBN-13: 9781597183215\n
Edition number: 2 New edition\n