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Tour of the Stata 17 interface

PDF documentation in Stata 17

Example datasets included with Stata 17

Customizable tables in Stata

Customizable tables: Cross-tabulations

Customizable tables: One-way tables of summary statistics

Customizable tables: Two-way tables of summary statistics

Customizable tables: How to create tables for a regression model

Customizable tables: How to create tables for multiple regression models

Bayesian econometrics

Bayesian vector autoregressive models

Bayesian dynamic forecasting

Bayesian impulse–response functions and forecast error-variance decompositions

Bayesian dynamic stochastic general equilibrium models

Bayesian panel-data models

Bayesian multilevel modeling

Cox proportional hazards model for interval-censored data

Multivariate meta-analysis

Leave-one-out meta-analysis

Galbraith plots

Difference in differences

Treatment-effects estimation using lasso

Using lasso with clustered data for prediction and inference

Using BIC in lasso

Fixed-effects and random-effects multinomial logit models

Zero-inflated ordered logit model

Nonparametric tests for trends

Do-file Editor enhancements

PyStata—Python and Stata

Jupyter Notebook with Stata

SEM Builder Updated

Fitting and interpreting regression models: Logistic regression with categorical predictors New

Fitting and interpreting regression models: Logistic regression with continuous predictors New

Fitting and interpreting regression models: Logistic regression with continuous and categorical predictors New

Fitting and interpreting regression models: Linear regression with categorical predictors New

Fitting and interpreting regression models: Linear regression with continuous predictors New

Fitting and interpreting regression models: Linear regression with continuous and categorical predictors New