Stata 11 has many new features that are not yet mentioned here; see what's new in Stata Release 11.

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, factor variables, more ...
Linear models regression; bootstrap, jackknife, and robust Huber/White/sandwich variance estimates; instrumental variables; three-stage least squares; constraints; quantile regression; GLS; 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 ...
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; panel unit-root tests; AR(1) disturbances; more ...
Resampling and simulation methods bootstrapping, jackknife and Monte Carlo simulation, permutation tests; more ...	ANOVA/MANOVA balanced and unbalanced designs; factorial, nested, and mixed designs; repeated measures; marginal means; more ...
Survey methods sampling weights, multistage designs; stratification, poststratification; deff; means, proportions, ratios, totals; summary tables; predictive margins; bootstrap, jackknife, and linearization-based variance estimation; regression, instrumental variables, probit, Cox regression; more ...	Cluster analysis hierarchical clustering; kmeans and kmedian nonhierarchical clustering; dendrograms; stopping rules; user-extensible analyses; more ...
Nonparametric methods Wilcoxon–Mann–Whitney, Wilcoxon signed ranks and Kruskal–Wallis tests; Spearman and Kendall correlations; Kolmogorov–Smirnov tests; exact binomial CIs; more ...	Multivariate methods factor analysis, principal components, discriminant analysis, rotation, multidimensional scaling, Procrustean analysis, correspondence analysis, biplots, dendrograms, user-extensible analyses; 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, numerical derivatives, object-oriented programming, more ...	Multilevel mixed-effects model continuous, binary, and count outcomes; two-, three-, and multiway random-intercepts and random-coefficients models; crossed random effects; ML and REML estimation; BLUPs of effects and fitted values; hierarchical models; residual error structures; more ...
Generalized linear models (GLMs) ten link functions, user-defined links, seven distributions, ML and IRLS estimation, nine variance estimators, seven residuals, more ...	Survival analysis Kaplan–Meier and Nelson–Aalen estimators, Cox regression (frailty); parametric models (frailty); competing risks; 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, multivariate GARCH, dynamic factors, state-space models, 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 ...	Model testing and post-estimation support Wald tests; LR tests; linear and nonlinear combinations, tests, and predictions; marginal means, least-squares means, adjusted means, average partial and marginal effects; Hausman tests; more ...
Exact statistics exact logistic and Poisson regression, exact case–control statistics, binomial tests, Fisher’s exact test for r × c tables; more ...	Multiple imputation five univariate imputation methods, multivariate normal imputation, explore pattern of missingness, manage imputed datasets, estimate model and pool results, transform parameters, joint tests of parameter estimates, more
Other statistical methods generalized method of moments (GMM), sample size and power, nonlinear regression, 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 ...
Internet capabilities ability to install new commands, web updating, web file sharing, latest Stata news, more ...	User-written programs User-written commands for meta-analysis, data management, survival, econometrics; more ...
Accessibility Section 508 compliance, accessibility for persons with disabilities, more ...	Sample session A sample session of Stata for Windows, Mac and Unix
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Last revised:07/08/2009