Stata Blog: Import COVID-19 data from Johns Hopkins University

UPDATE “Like many of you, I am working from home and checking the latest news on COVID-19 frequently. I see a lot of numbers and graphs, so I looked around for the “official data”. One of the best data sources I have found is at the GitHub website for Johns Hopkins Whiting School of Engineering Center Read more about Stata Blog: Import COVID-19 data from Johns Hopkins University[…]

Stata Community corner: Graph Workflow

Your data tell a story, and data visualization helps you communicate your story clearly and efficiently. If you’re looking for a structured approach to creating high-impact Stata graphs for scientific work, check out the Graph Workflow website, created by Demetris Christodoulou. The Graph Workflow model introduced here is a systematic approach to data visualization. It teaches you Read more about Stata Community corner: Graph Workflow[…]

STATA Blog: Bayesian inference using multiple Markov chains

Bayesian models have a lot to offer researchers, but the core computational tool of these models—Markov chain Monte Carlo—can be slow and is susceptible to nonconvergence. And when the Markov chain does not converge, you do not want to rely on the results for inference. Want a formal diagnostic for Markov chain convergence? Want to Read more about STATA Blog: Bayesian inference using multiple Markov chains[…]

STATA 16.1 – free update for all Stata 16 users

IMPORTANT! STATA 16.1 – update gratuit pentru toti utilizatorii The Stata development team just released Stata 16.1, a free update for all Stata 16 users. This latest update includes new features in the Do-file Editor, meta-analysis, frames, multilevel models, choice models, and Word document creation. To get the update, launch Stata 16 and type update Read more about STATA 16.1 – free update for all Stata 16 users[…]

Stata Bookstore: Introduction to Time Series Using Stata, Revised Edition by Sean Becketti

Book Highlights: Clear, intuition-based explanations of time-series concepts and methods Introductions to simple and complex time-series and forecasting techniques, from smoothing and ARIMA to VARs and VECs Illustrations of time-series analyses using real-world data Worked examples that demonstrate how to implement analyses in Stata Practical advice from an author with decades of experience analyzing time-series Read more about Stata Bookstore: Introduction to Time Series Using Stata, Revised Edition by Sean Becketti[…]

STATA Blog: An introduction to the lasso in Stata

Why is the lasso interesting? The least absolute shrinkage and selection operator (lasso) estimates model coefficients and these estimates can be used to select which covariates should be included in a model. The lasso is used for outcome prediction and for inference about causal parameters. In this post, we provide an introduction to the lasso Read more about STATA Blog: An introduction to the lasso in Stata[…]