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This page announced the new features in Stata 13. Please see our Stata 19 page for the new features in Stata 19.

New in

Read all about the new features in Stata 13 below, or better still, let us show you.

Also visit Why use Stata to learn all the details of Stata's features.

Treatment effects

Inverse-probability weights (IPW)
Regression adjustment
Propensity-score matching
Covariate matching
Doubly robust methods
Continuous, binary,and count outcomes
Endogenous treatment models
More

Multilevel models

Negative binomial
Ordered logistic
Ordered probit
Multinomial logistic
GLM
Hierarchical and crossed models
More

Power and sample size

Means, proportions, variances, correlations
ANOVA, including repeated measures
Case–control and cohort studies
Interactive control panel
Tabular results
Automatic graphs
More

Generalized SEM

Generalized linear responses: binary, count, ordered outcomes
Multilevel models: nested (hierarchical) and crossed
Random slopes and intercepts
Fast
More

Forecasting

Time series and panels
One to thousands of equations
Identities
Add factors
Dynamic and static
CIs via stochastic simulation
Compare scenarios
More

Long strings

Two billion character strings
Text strings
Binary large objects (BLOBs)
Import/Export/ODBC/SQL
Work just like Stata strings
More

Panel data

Ordered outcomes
Random-effects ordered probit
Random-effects ordered logistic
Random-effects multinomial logit
Cluster–robust SEs
More

Project Manager

Organize files (1–10,000)
Multiple projects
Filter on filenames
Click to open
Click to run
More

Censored continuous outcomes

Selection models
Random effects and random coefficients
Endogenous covariates
Treatment effects (ATEs)
Endogenous switching models
More

Univariate time series

IRFs for ARIMA and ARFIMA
Parametric autocorrelations
Parametric spectral densities
Stability checks for ARIMA
More

Effect sizes

Comparison of means
ANOVA
Linear regression
Confidence intervals
Cohen’s d, Hedges’s g, Glass’s Δ, η², ω²
More

More statistics

Ordered probit with sample selection
Poisson with endogenous covariates
Robust SEs for quantile regression
ML estimation without programming
Fractional polynomial prefix
Intraclass correlations
Ten noncentral-t and noncentral-F functions
Marginal effects for changes from status quo

And more

Stata/MP. As with all of Stata, many of the new features in Stata 13 support multicore processors when using Stata/MP. Run faster, run Stata/MP.

PDF of the Stata 13 announcement.

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This page announced the new features in Stata 13. Please see our Stata 19 page for the new features in Stata 19.

New in

Treatment effects

Multilevel models

Power and sample size

Generalized SEM

Forecasting

Long strings

Panel data

Project Manager

Censored continuous outcomes

Univariate time series

Effect sizes

More documentation

More statistics

And more

We use cookies

Privacy policy

Required cookies

Advertising and performance cookies

Stata/MP4 Annual License (download)

This page announced the new features in Stata 13. Please see our Stata 19 page for the new features in Stata 19.

New in

More statistics

And more

We use cookies

Privacy policy

Required cookies

Advertising and performance cookies