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* Data management
data transformations, match-merge, ODBC, XML, by-group processing, append files, sort, row?column transposition, labeling, saving results, more
* Basic statistics
summaries, cross-tabulations, correlations, t tests, equality-of-variance tests, tests of proportions, confidence intervals, more
* Linear models
regression; bootstrap, jackknife, and robust Huber/White/sandwich variance estimates; instrumental variables; three-stage least squares; constraints; quantile regression; GLS; more
* Multilevel mixed-effects models
continuous, binary, and count outcomes; two-, three-, and multi-way random-intercepts and random-coefficients models; crossed random effects; ML and REML estimation; BLUPs of effects and fitted values; hierarchical models; more
* Binary, count, and limited dependent variables
logistic, probit, tobit; Poisson and negative-binomial; conditional, multinomial, nested, ordered, rank-ordered, and stereotype logistic; multinomial probit; zero-inflated and zero-truncated count models; selection models; marginal effects; more
* Panel data/cross-sectional time-series
random- and fixed-effects with robust standard errors, linear mixed models, random-effects probit, GEE, random- and fixed-effects Poisson, dynamic panel data models, and instrumental variables regression; AR(1) disturbances; more
* Generalized linear models (GLMs)
ten link functions, user-defined links, seven distributions, ML and IRLS estimation, nine variance estimators, seven residuals, more
* Nonparametric methods
Wilcoxon?Mann?Whitney, Wilcoxon signed ranks and Kruskal?Wallis tests;
Spearman and Kendall correlations; Kolmogorov?Smirnov tests; exact binomial CIs, more
* Exact statistics
exact logistic and Poisson regression, exact case?control statistics,
binomial tests, Fisher¡¯s exact test for r ¡¿ c tables, more
* ANOVA/MANOVA
balanced and unbalanced designs; factorial, nested,
and mixed designs; repeated measures; more
* Multivariate methods
factor analysis; principal components; discriminant analysis;
rotation; multidimensional scaling; Procrustean analysis;
correspondence analysis; biplots; dendrograms; user-extensible analyses; more
* Cluster analysis
hierarchical clustering; kmeans and kmedian nonhierarchical clustering;
dendrograms; stopping rules; user-extensible analyses; more
* Resampling and simulation methods
bootstrapping, jackknife and Monte Carlo simulation; permutation tests; more
* Model testing and post-estimation support
Wald tests; LR tests; linear and nonlinear combinations, tests,
and predictions; marginal effects; adjusted means; Hausman tests; more
* Graphics
line charts, scatterplots, bar charts, pie charts, hi?lo charts,
Graph editor, regression diagnostic graphs, survival plots,
nonparametric smoothers, distribution Q?Q plots, more
* Survey methods
sampling weights, multistage designs; stratification, poststratification;
deff; means, proportions, ratios, totals; summary tables; bootstrap, jackknife,
and linearization-based variance estimation; regression, instrumental variables,
probit, Cox regression; more
* Survival analysis
Kaplan?Meier and Nelson?Aalen estimators, Cox regression (frailty);
parametric models (frailty); hazards; time-varying covariates;
left and right censoring, Weibull, exponential, and Gompertz analysis;
sample size and power analysis; more
* Tools for epidemiologists
standardization of rates, case-control, cohort, matched case-control,
Mantel-Haenszel, pharmacokinetics, ROC analysis, ICD-9-CM, more
* Time series
ARIMA, ARCH/GARCH, VAR, VECM, high-frequency data, correlograms,
periodograms, white-noise tests, unit root tests, Holt?Winters smoothers,
Haver Analytics data, rolling and recursive estimation, more
* Maximum likelihood
user-specified functions; NR, DFP, BFGS, BHHH; OIM, OPG, robust,
bootstrap, and jackknife matrices; Wald tests; survey data; numeric or analytic derivatives; more
* Transforms and normality tests
Box?Cox transforms, power transforms, Shapiro?Wilk and Shapiro?Francia tests, more
* Other statistical methods
sample size and power, nonlinear regression, imputations, stepwise regression, statistical and mathematical functions, more
* Programming language
adding new commands, command scripting, if, while, command parsing, debugging, menu and dialog-box programming, markup and control language, more
* Matrix programming?Mata
interactive sessions, large-scale development projects, optimization, matrix inversions, decompositions, eigenvalues and eigenvectors, LAPACK engine, real and complex numbers, string matrices, interface to Stata datasets and matrices, more
* Internet capabilities
ability to install new commands, web updating, web file sharing, latest Stata news, more
* Accessibility
Section 508 compliance, accessibility for persons with disabilities
* Sample session
A sample session of Stata
* User-written commands
User-written commands for meta-analysis; data management; survival; econometrics; more
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