» Reproducible reporting
» Lasso
» Python integration
» Meta-analysis
» Choice models
» Multiple datasets in memory
» And much more

Lasso

Model selection, prediction, and inference

Truly
Reproducible
Reporting

Meta-analysis

» Combine results from multiple studies
» Estimate an overall effect size
» And more

python
integration

Use any Python package from within Stata.

Pass data back and forth seamlessly.

Choice
models

Choice models are not new.
Fully understanding their implications is.

new in
Bayesian
analysis

Multiple chains    Gelman–Rubin convergence diagnostics

Bayesian predictions     Posterior predictive p-values

multiple
datasets
in memory

Frames—multiple datasets in memory

Panel-data
ERMs

import from
sas and spss

Nonparametric
series
regression

You know it's nonlinear.

Did you know you can make inferences about anything of interest?

Sample-size
analysis
for CIs

Panel-data
mixed logit

You choose dinner everyday.

You choose your car insurance every year.

You choose where to vacation each summer.

Now you can account for the you-ness in those decisions.

Nonlinear
DSGE models

Leave the linearization to us.

Multiple-group
IRT

xtheckman

If you know what this means ...

... you know that you want it.

Nonlinear mixed
models with
lags, leads, and
differences

Multiple-dose pharmacokinetic models
Growth models
More

Heteroskedastic
ordered
probit

Model differences in variance among subjects or groups.

Point sizes
for graphics

Numerical
integration

Linear
programming

Stata in
korean

이제부터 Stata의 모든 인터페이스 (모든 메뉴 및 모든 대화 상자)는 한국어로 가능합니다.

mac
interface

Dark Mode Native tabbed windows

Do-file editor
autocompletion