Powerful statistical analyses, customizable visualizations, easy data manipulation, and automated reproducible reporting—all in one complete package.
Bayesian model averaging
Use Bayesian model averaging to account for this uncertainty in your analysis. Explore influential models and predictors, obtain better predictions, and more.
Causal mediation analysis
Causal analysis quantifies causal effects. Causal mediation analysis disentangles them.
Are these effects mediated through another variable? Estimate direct and indirect effects. Calculate the proportion mediated.
Estimate treatment effects that vary over groups and time. Fit models for repeated cross-sectional or panel data.
Visualize effects. Aggregate effects within group, time, or exposure to treatment.
All-new graph style
White background • Horizontal y-axis labels • Bright color palette • Side legend • And more
Group sequential designs
Calculate efficacy and futility stopping bounds for clinical trials. Find required sample sizes for interim and final analyses when testing proportions, means, or survivor functions.
Robust inference for linear models
Stata's robust features for linear models became even more robust. Learn how.