Stata Press is pleased to announce the release of Interpreting and Visualizing Regression Models Using Stata, Second Edition by Michael N. Mitchell.
Mitchell’s latest book 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 clearly, regardless of the audience. Read more…
Categories: New Books, Resources, Stata Products Tags: books, contrasts, forthcoming, graphics, interaction, interpreting, linear regression, logistic regression, michael mitchell, mitchell, nonlinear, regression models, release, second, social science, Stata 16, stata press, statistics, visualizing
Introduction
Stata 15 provides a convenient and elegant way of fitting Bayesian regression models by simply prefixing the estimation command with bayes. You can choose from 45 supported estimation commands. All of Stata’s existing Bayesian features are supported by the new bayes prefix. You can use default priors for model parameters or select from many prior distributions. I will demonstrate the use of the bayes prefix for fitting a Bayesian logistic regression model and explore the use of Cauchy priors (available as of the update on July 20, 2017) for regression coefficients. Read more…