New in Stata 16 | Stata
This page announced the new features in Stata 16. Please see our Stata 17 page for the new features in Stata 17.

Lasso

coefpath cvplot

Model selection, prediction, and inference

Truly reproducible reporting

pdf word html excel

Meta-analysis

meta-forest meta-sum meta-funnel

» Combine results from mutliple studies
» Estimate an overall effect size
» and more

  • Car?
  • Bus?
  • Airplane?
  • Train?
car-travel modes-of-transport select-modes

Choice models with meaningful inference

Use any Python package from within Stata

python

Pass data back and forth seamlessly

New in Bayesian analysis

Multiple chains   Bayesian predictions

grubin ac trace

Panel-data ERMs

xterm

Import data from SAS and SPSS

sas
spss

Nonparametric series regression

You know it's nonlinear.

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

npreg1 npreg2 npreg3

Frames—multiple datasets in memory

fr-manager data-ed fr-link

Sample-size analysis for CIs

ci-db ci-panel
ci-table ci-graph

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.

dsge
irf

Multiple-group IRT

irtgrp1 irtgrp2
irtgrp3

xtheckman

If you know what this means ...

... you know that you want it.

Nonlinear mixed-effects models with lags

Pharmacokinetic models, growth models, and more

pk

Heteroskedastic ordered probit

hetero-prob

Model differences in variance among subjects or groups

Point sizes for graphics

wwwsa

Numerical integration

quad quad2

Linear programming

linear-prog

Stata in Korean

korean korean2

Mac interface

gui-man

Do-file Editor autocompletion

auto-comp

Added features

We are continuously adding new

features in free updates to Stata 16.

Reproducible reporting

Create Word, HTML, PDF, and Excel files with Stata results and graphs.

pdf word html excel

Stata's integrated versioning gives you truly reproducible reporting. Want dynamic documents? All of these reports can be updated as your data change.

Meta-analysis

meta-sum meta-cp
meta-forest meta-funnel

With Stata's new meta-analysis suite, you can easily summarize results from multiple studies.

  • Estimate an overall effect size

  • Perform random-effects, fixed-effects, or common-effect meta-analysis

  • Display results in a forest plot

  • Analyze subgroups

  • Perform meta-regression

  • Explore small-study effects

  • Evaluate publication bias

  • Perform cumulative meta-analysis

Panel-data ERMs

xterm

Endogeneity +

Selection +

Treatment +

Panel data


Handle all of these complications simultaneously.

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 dynamic stochastic general equilibrium (DSGE) models

Now you can leave the linearization to us.

dsge
irf

Specify your nonlinear model and evaluate policy implications

  •    Solve

  •    Calibrate

  • Estimate

  • Graph

xtheckman

If you know what this means ...

... you know that you want it.

Nonlinear mixed-effects models with
lags, leads, and differences

pk

Multiple-dose pharmacokinetic models

Growth models

More

Heteroskedastic ordered probit

Model differences in variance among subjects or groups

hetero-prob

Point sizes for graphics

wwwsa

Now specify the size of text, markers, margins, lines, and more
using printer points, centimeters, or inches.

Numerical integration

quad quad2

Linear programming

linear-prog

Stata in Korean

korean korean2

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

  • coefpath cvplot

    All the expected tools for model selection and prediction

    • Cross-validation

    • Goodness of fit

    • Coefficient paths

    • Knot analysis

    • Lasso and elastic net

    Alongside cutting-edge inferential methods

    • Robust to mistakes in variable methods

    • Proper inference for coeffiecients of interest

    • Double selection, partialing out, and cross-fitting

    Continuous, binary, count outcomes

  • Create Word, HTML, PDF, and Excel files with Stata results and graphs.

    pdf word html excel

    Stata's integrated versioning gives you truly reproducible reporting.

    Want dynamic documents? All of these reports can be updated as your data change.

    Learn more
  • meta-sum meta-cp
    meta-forest meta-funnel

    With Stata's new meta-analysis suite, you can easily summarize results from multiple studies.

    • Estimate an overall effect size

    • Perform random-effects, fixed-effects, or common-effect meta-analysis

    • Display results in a forest plot

    • Analyze subgroups

    • Perform meta-regression

    • Explore small-study effects

    • Evaluate publication bias

    • Perform cumulative meta-analysis

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

    modes-of-transport car-travel select-modes
  • Use any Python package from within Stata

    python
    • Matplotlib for 3-D graphs

    • Scrapy for scraping data

    • TensorFlow for machine learning

  • Multiple chains

    Gelman–Rubin convergence diagnostics

    grubin ac trace

    Bayesian predictions

    Posterior predictive p-values

  • xterm

    Endogeneity +

    Selection +

    Treatment +

    Panel data

    Handle all of these complications simultaneously

  • Import data from SAS

    sas

    Import data from SPSS

    spss
  • Agnostic about functional form? Poisson or negative binomial? Cubic or quadratic on a covariate?

    No problem.

    With nonparametric regression, you can explore the response surface, estimate population-averaged effects, perform tests, and obtain confidence intervals.

    npreg1 npreg2 npreg3
  • fr-manager data-ed fr-link

    Load datasets simultaneously into frames.

    Link related frames.

    Multitask.

    Record results in another frame.

    Make code run faster

  • How many subjects are needed to achieve a confidence interval of the desired width?

    ci-db ci-panel

    Tabular results

    ci-table

    Automated graphs

    ci-graph

    Perform sample-size analysis for CIs for

    • One mean

    • One variance

    • Two independent means

    • Two paired means

    • Your own method

  • 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 dynamic stochastic general equilibrium (DSGE) models

    Now you can leave the linearization to us.

    dsge

    Specify your nonlinear model and evaluate policy implications

    • Solve

    • Calibrate

    • Estimate

    • Graph

    irf
  • irtgrp1
    irtgrp2
    irtgrp3

    Fit multiple-group IRT models

    • 1PL, 2PI, and 3PL models for binary outcomes

    • Graded response, partial credit, and rating scale models for ordinal outcomes

    • Nominal response models for categorical outcomes


    Compare estimates across groups

    • Item difficulty

    • Item discrimination


    Graph group differences

    • ICCs, TCCs, IIFs, TIFs


    Perform model-based tests of differential item functioning

  • If you know what this means...

    ...you know that you want it.

  • Nonlinear mixed-effects models with lags, and more

    pk

    Multiple-dose pharmacokinetic models

    Growth models

    More

  • Model differences in variance among subjects or groups

    hetero-prob
  • korean korean2

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

  • New in the Mac interface

    Dark Mode and native tabbed windows

    gui-man
  • You type

    • sum

    • re

    We type

    • marize

    • gress

    auto-comp

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