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Announcing Stata 14

Bayesian analysis has come to Stata. Fit models using a Metropolis–Hastings algorithm, diagnose convergence, analyze posterior distributions, perform inference, and much, much more.
Unicode. Здравствуйте. こんにちは. Hello. Use Unicode for variable names, labels, data, and whatever else you wish.
Panel and multilevel survival models let you introduce normally distributed heterogeneity into duration analyses. Random intercepts. Random coefficients. Crossed effects. Two-, three-, and higher-level models. And more.
Much more in treatment effects, including endogenous treatments, survival models, sampling (probability) weights, and balance analysis.
IRT (item response theory) lets you explore the relationship between a latent trait and the items that measure aspects of that trait.
Markov-switching regression models to analyze time series that transition over a set of unobserved regimes (states).
Power analysis for contingency tables and survival models lets you tabulate and graph sample size, power, and effect size for Cox models, Cochran–Mantel–Haenszel tests, and more.
Survey support for multilevel models. Just svyset your sampling design and put svy: in front of any multilevel model.
And much more:
Better integration with Excel • Fractional outcome models • Hurdle models • Censored Poisson models • Beta regression models • Denominator degrees of freedom for mixed models • Satorra–Bentler adjustments for SEM • Structural break tests • Marginal predictions for SEM and multilevel models • ICD-10 support • Interface in Spanish and Japanese • More than 2 billion observations • And even more

Find out all about the features in Stata 14.

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