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Stata software statistik dan analisis diciptakan pada tahun 1985 oleh Stata Corporation. Sebagian besar penggunanya bekerja dalam penelitian, terutama dibidang ekonomi, sosiologi, ilmu politik, biomedis dan epidemiologi.
Kemampuan kinerja Stata mencakup manajemen data, analisis statistik, grafik, simulasi, regresi, dan pemograman custom.

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Stata is a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics.

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FAST, ACCURATE, AND EASY TO USE
With both a point and click interface and a powerful, intuitive command syntax, Stata is fast, accurate, and easy to use.
All analyses can be reproduced and documented for publication and review. Version control ensures statistical programs will continue to produce the same results no matter when you wrote them. See certification results and FDA document compliance for accuracy details.
COMPLETE DATA MANAGEMENT FACILITIES
Stata's data management features give you complete control of all types of data. You can combine and reshape datasets, manage variables, and collect statistics across groups or replicates. You can work with byte, integer, long, float, double, and string variables (including BLOBs and strings up to 2 billion characters).
Stata also has advanced tools for managing specialized data such as survival/duration data, time series data, panel/longitudinal data, categorical data, multiple imputation data, and survey data.

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STATA FEATURES
LINEAR MODELS
01. GLS.
02. Regression.
03. Constraints.
04. Quantile regression.
05. Censored outcomes.
06. Instrumental variables.
07. Endogenous regressors.
08. Three stage least squares.
09. Bootstrap, jackknife, and robust and cluster robust variance.
LONGITUDINAL DATA - PANEL DATA
01. GEE.
02. Panel unit root tests.
03. Linear mixed models.
04. Instrumental variables.
05. Random effects probit.
06. Dynamic panel data models.
07. Random and fixed effects Poisson.
08. Random and fixed effects with robust standard errors.
MULTI LEVEL MIXED EFFECTS MODELS
01. Random slopes.
02. DDF adjustments.
03. Random intercepts.
04. Hierarchical models.
05. Crossed random effects.
06. Support for survey data.
07. Residual error structures.
08. Generalized linear models.
09. BLUPs of effects and fitted values.
10. Two-, three-, and higher level models.
11. Continuous, binary, count, and survival outcomes.
BINARY, COUNT, AND LIMITED OUTCOMES
01. Marginal effects.
02. Selection models.
03. Multinomial probit.
04. Logistic, probit, tobit.
05. Poisson and negative binomial.
06. Zero inflated and left truncated count models.
07. Conditional, multinomial, nested, ordered, rank ordered, and stereotype logistic.
GENERALIZED LINEAR MODELS
01. Seven residuals.
02. Ten link functions.
03. User defined links.
04. Seven distributions.
05. ML and IRLS estimation.
06. Nine variance estimators.
ANOVA - MANOVA
01. Contrasts.
02. Marginal means.
03. Repeated measures.
04. Balanced and unbalanced designs.
05. Factorial, nested, and mixed designs.
EXACT STATISTIC
01. Binomial tests.
02. Exact case control statistics.
03. Fisher’s exact test for r × c tables.
04. Exact logistic and Poisson regression.
TESTS, PREDICTIONS, AND EFFECTS
01. LR tests.
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03. Hausman tests.
04. Marginal means.
05. Adjusted means.
06. Forecast models.
07. Least squares means.
08. Marginal and partial effects.
09. Linear and nonlinear combinations.
10. Predictions and generalized predictions.
CONTRASTS, PAIRWISE, COMPARISONS, AND MARGINS
01. Interaction plots.
02. Orthogonal polynomials.
03. Multiple comparison adjustments.
04. Compare means, intercepts, or slopes.
05. Graph estimated means and contrasts.
06. Compare to reference category, adjacent category, grand mean, etc.
GMM AND NON-LINEAR REGRESSION
01. Non-linear regression.
02. Generalized method of moments (GMM).
SIMPLE MAXIMUM LIKELIHOOD
01. Survey data.
02. Matrix estimators.
03. No programming required.
04. Specify likelihood using simple expressions.
05. Standard, robust, bootstrap, and jackknife SEs.
PROGRAMMABLE MAXIMUM LIKELIHOOD
01. Wald tests.
02. Survey data.
03. NR, DFP, BFGS, BHHH.
04. User specified functions.
05. Numeric or analytic derivatives.
06. OIM, OPG, robust, bootstrap, and jackknife SEs.
TIME SERIES
01. VAR.
02. VECM.
03. ARIMA.
04. ARFIMA.
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