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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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