• Bayesian model averaging (BMA)

• 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

• Bayesian model averaging (BMA)

• 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

• Lasso for Cox model

• GOF plots for survival models

• RERI

• New spline functions

• Corrected and consistent AICs

• IV fractional probit model

• IV quantile regression

• Heterogeneous DID

• Multilevel meta-analysis

• Meta-analysis for prevalence

• Local projections for IRFs

• Model selection for ARIMA and ARFIMA

• Alias variables across frames

• Frame sets

• Boost-based regular expressions

• Vectorized numerical integration

• Data Editor enhancements

• Do-file Editor enhancements

• New reporting features

• Graph colors by variable

• All-new graph style

• More

• Bayesian model averaging (BMA)

• Causal mediation analysis

• Tables of descriptive statistics

• Heterogeneous DID

• Group sequential designs

• Multilevel meta-analysis

• Meta-analysis for prevalence

• Robust inference for linear models

• Wild cluster bootstrap

• Local projections for IRFs

• Model selection for ARIMA and ARFIMA

• Flexible demand systems

• TVCs with interval-censored Cox model

• Lasso for Cox model

• GOF plots for survival models

• RERI

• IV quantile regression

• IV fractional probit model

• Corrected and consistent AICs

• New spline functions

• Alias variables across frames

• Frame sets

• Boost-based regular expressions

• Vectorized numerical integration

• New reporting features

• Do-file Editor enhancements

• Data Editor enhancements

• Graph colors by variable

• All-new graph style

• More

Additional StataNow™ features

• Machine learning via H2O:
  Ensemble decision trees Latest

• High-dimensional fixed effects (HDFE)

• Bayesian variable selection for linear model

• Interval-censored multiple-event Cox model

• Bayesian quantile regression

• Panel-data VAR model

• Correlated random-effects (CRE) model

• Control-function linear and probit models

• SVAR models via instrumental variables

• IV local-projection IRFs

• Bayesian asymmetric Laplace model

• Inference robust to weak instruments

• Meta-analysis for correlations

• Mundlak specification test

• Do-file Editor: Autocompletion, templates, and more

• Colors by variable for more graphs

• More

• Machine learning via H2O:
  Ensemble decision trees Latest

• High-dimensional fixed effects (HDFE)

• Bayesian variable selection for linear model

• Interval-censored multiple-event Cox model

• Meta-analysis for correlations

• Bayesian quantile regression

• Panel-data VAR model

• Inference robust to weak instruments

• Mundlak specification test

• Correlated random-effects (CRE) model

• Control-function linear and probit models

• SVAR models via instrumental variables

• IV local-projection IRFs

• Bayesian asymmetric Laplace model

• Colors by variable for more graphs

• Do-file Editor: Autocompletion, templates, and more

• More

• Machine learning via H2O:
  Ensemble decision trees Latest

• High-dimensional fixed effects (HDFE)

• Bayesian variable selection for linear model

• Interval-censored multiple-event Cox model

• Meta-analysis for correlations

• Correlated random-effects (CRE) model

• Control-function linear and probit models

• Bayesian quantile regression

• Bayesian asymmetric Laplace model

• Panel-data VAR model

• Inference robust to weak instruments

• SVAR models via instrumental variables

• IV local-projection IRFs

• Mundlak specification test

• Do-file Editor: Autocompletion, templates, and more

• Colors by variable for more graphs

• More