| Data Management
data transformations, match-merge, ODBC, XML, by-group processing, append files, sort, row–column transposition, labeling, saving results, ...
Basic statistics
summaries, cross-tabulations, correlations, t tests, equality-of-variance tests, tests of proportions, confidence intervals, ...
Linear models
regression; bootstrap, jackknife, and robust Huber/White/sandwich variance estimates; instrumental variables; three-stage least squares; constraints; quantile regression; GLS; ...
Multi-level Mixed Effect 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; ...
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; ...
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;
...
Generalized Linear Models (GLMs)
ten link functions, user-defined links, seven distributions, ML and IRLS estimation, nine variance estimators, seven residuals, ...
Nonparametric methods
Wilcoxon–Mann–Whitney, Wilcoxon signed ranks and Kruskal–Wallis tests; Spearman and Kendall correlations; Kolmogorov–Smirnov tests; exact binomial CIs, ...
Exact Statistics
exact logistic and Poisson regression, exact case–control statistics, binomial tests, Fisher’s exact test for r × c tables, ...
ANOVA/MANOVA
balanced and unbalanced designs; factorial, nested, and mixed designs; repeated measures, ...
Multivariate methods
factor analysis, principal components, disciminant analysis, rotation, multidimensional scaling, Procrustean analysis, correspondence analysis, biplots, dendrograms, user-extensible analyses, ...
Cluster analysis
hierarchical clustering; kmeans and kmedian nonhierarchical clustering; dendrograms; stopping rules; user-extensible analyses;
...
Resampling and simulation
methods
bootstrapping, jackknife and Monte Carlo simulation, permutation tests, ...
Multiple Imputation for Missing Data*
Five univariate imputation methods, Multivariate normal imputation, Most estimation commands supported, Control panel guides you along, Manage MI datasets, ...
GMM*
Linear and nonlinear models, One-step, two-step, and iterative estimators,
Cross-sectional, time-series, and panel models, Easily specify panel-style instruments, Interactive version just like nl, ...
Fonts in Graphics*
Italics and bold, Greek letters,
Mathematical symbols, Superscripts and subscripts, Multiple font faces, ...
PDF Documentation*
Comes with every copy of Stata,
Includes all manuals, Linked from help files, ...
Variables Manager*
Change storage types, names, and formats,
Add and edit value labels, Attach notes to variables, Filter variables , ...
Data Editor*
Work reproducibly,
Live view of data while you perform analyses, Filters to focus on subsets of data, Undo with snapshots, Enter dates and times easily, ...
Do File Editor*
Syntax highlighting,
Unlimited file size, Line bookmarks, Code folding , ...
Mata*
Object-oriented programming, Numerical derivative functions
Associative arrays, LAPACK functions, ...
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Model testing and post-estimation
support
WWald tests, LR tests, linear and nonlinear combinations, tests, and predictions, marginal effects, adjusted means, Hausman tests, ...
Maximum Likelihood
user-specified functions, NR, DFP, BFGS, BHHH; OIM, OPG, robust, bootstrap, and jackknife matrices; Wald tests; survey data; numeric or analytic derivatives; ...
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,
...
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, ...
Tools for epidemiologists
standardization of rates, case–control, cohort, matched case–control, Mantel–Haenszel, pharmacokinetics, ROC analysis, ICD-9-CM, ...
Time series
ARIMA, ARCH/GARCH, VAR, VECM, correlograms, periodograms, white-noise tests, unit root tests, Holt–Winters smoothers, Haver Analytics data, rolling and recursive estimation, ...
Transforms and normality tests
Box–Cox transforms, power transforms, Shapiro–Wilk and Shapiro–Francia tests, ...
Other statistical methods
sample size and power, nonlinear regression, imputations, stepwise regression, statistical and mathematical functions,
...
Graphics
line charts, scatterplots, bar charts, pie charts, hi–lo charts, Graphics editor, regression diagnostic graphs, survival plots, nonparametric smoothers, distribution Q–Q plots, ...
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, ...
Programming language
adding new commands, command scripting, if, while, command parsing, debugging, menu and dialog-box programming, markup and control language, ...
Internet capabilities
ability to install new commands, web updating, web file sharing, latest Stata news, ...
Accessibility
Section 508 compliance, accessibility for persons with disabilities, ...
User-written commands
User-written commands for meta-analysis, data management, survival, econometrics, ...
Factor Variables*
Indicators for categorical variables,
Interactions—categorical and continuous, Polynomial terms, Factorial designs, ...
Marginal Analysis*
Estimated marginal means,
Predictive margins, Average marginal effects, Average adjusted predictions , ...
Competing-risks Regression*
Time-varying covariates,
Cumulative incidence graphs, Predict relative subhazards, ...
State-space Models*
VARMA Models,
Structural time-series models, Unobserved component models, Stationary and nonstationary cases, Kalman filter, ...
Dynamic Factor Models*
Unobserved dynamic factors,
Static factor models, Extracting unobserved factors, ...
Multivariate GARCH models*
Diagonal vech model, ARCH and GARCH terms,
Predict conditional volatitlity, ...
Panel-data unit-root tests*
Levin–Lin–Chu, Harris–Tzavalis,
Breitung, and Im–Pesaran–Shin tests for unit roots, Fisher-type tests based on augmented Dickey–Fuller and Phillips–Perron tests, Hadri LM test for stationarity, ...
Stata/MP*
Multiple imputation,
State-space models, Dynamic-factor models, ...
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