► Lasso

Model selection and prediction alongside cutting-edge inferential methods.

► Truly reproducible reporting

Create customized Word, HTML, PDF, and Excel files with Stata results and graphs.

► Meta-analysis

Powerful, yet easy to use, tools for summarizing, evaluating, and testing results from multiple studies.

► Frames—multiple datasets in memory

Load datasets simultaneously into frames. Link related frames. Multitask. Record results separately. Make code run faster.

► Choice models

Choice models are easy to fit and hard to interpret. Not anymore. Now you can truly interpret your results.

► Python integration

Take advantage of any Python package from within Stata. Call machine-learning packages, scrape data, perform image recognition, and more.

► New in Bayesian analysis

Multiple chains. Gelman–Rubin convergence diagnostics. Bayesian predictions. Posterior predictive p-values. And more.

► Panel-data ERMs

ERMs account for endogenous covariates, sample selection, and treatment all at the same time. And now add panel data to that list.

► Import data from SAS and SPSS

Your colleagues give you data in another format. You want to analyze the data in Stata.

► Nonparametric series regression

Not sure how to specify your model? Linear or nonlinear? Cubic or quadratic? Try nonparametric series regression.

► Sample-size analysis for CIs

► Panel-data mixed logit

► xtheckman

► Heteroskedastic ordered probit

► Point sizes for graphics

► Mac Dark Mode

► NLMEMs—growth, PK models

► Nonlinear DSGE models

► Multiple-group IRT

► Numerical integration

► Linear programming

► Stata in Korean

► Mac tabbed windows

► Do-file Editor autocompletion