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  • Bayesian model averaging
  • Causal mediation analysis
  • Tables of descriptive statistics
  • Group sequential designs
  • Robust inference for linear models
  • Wild cluster bootstrap
  • Flexible demand systems
  • TVCs with interval-censored Cox model
  • GOF plots for survival models
  • Lasso for Cox model
  • Heterogeneous DID
  • Multilevel meta-analysis
  • Meta-analysis for prevalence
  • Local projections for IRFs
  • Model selection for ARIMA and ARFIMA
  • RERI
  • New spline functions
  • Corrected and consistent AICs
  • IV fractional probit model
  • IV quantile regression
  • All-new graph style
  • Graph colors by variable
  • Alias variables across frames
  • Frame sets
  • Boost-based regular expressions
  • Vectorized numerical integration
  • New reporting features
  • Do-file Editor enhancements
  • Data Editor enhancements
  • More

Stata Is Statistical Software For Data Science

  • Master your data
  • Broad suite of statistical features
  • Publication-quality graphics
  • Automated reporting
  • PyStata — Python integration
  • Truly reproducible research
  • Real documentation
  • Trusted
  • Easy to use
  • Easy to grow with
  • Easy to automate
  • Easy to extend
  • Advanced programming
  • Automatic multicore support
  • Community-contributed features
  • World-class technical support
  • Cross-platform compatible
  • Widely used
  • Comprehensive resources
  • Vibrant community
  • Affordable