Linear models
regression • censored outcomes • endogenous regressors • bootstrap, jackknife, and robust and cluster–robust variance • instrumental variables • threestage least squares • constraints • quantile regression • GLS 
Longitudinal data/panel data
random and fixed effects with robust standard errors • linear mixed models • randomeffects probit • GEE • random and fixedeffects Poisson • dynamic paneldata models • instrumental variables • panel unitroot tests 
Multilevel mixedeffects models
continuous, binary, count, and survival outcomes • two, three, and higherlevel models • generalized linear models • randomintercepts • randomslopes • crossed random effects • BLUPs of effects and fitted values • hierarchical models • residual error structures • DDF adjustments • support for survey data 
Binary, count, and limited outcomes
logistic, probit, tobit • Poisson and negative binomial • conditional, multinomial, nested, ordered, rankordered, and stereotype logistic • multinomial probit • zeroinflated and lefttruncated count models • selection models • marginal effects 
Extended regression models (ERMs)
combine endodenous covariates, sample selection, and nonrandom treatment in models for continuous, intervalcensored, binary, and ordinal outcomes 
Generalized linear models (GLMs)
ten link functions • userdefined links • seven distributions • ML and IRLS estimation • nine variance estimators • seven residuals 
Finite mixture models (FMMs)
fmm prefix for 17 estimators • mixtures of a single estimator • mixtures combining multiple estimators or distributions • continuous, binary, count, ordinal, categorical, censored, truncated, and survival outcomes 
Spatial autoregressive models
spatial lags of dependent variable, independent variables, and autoregressive errors • fixed and random effects in panel data • endogenous covariates • analyze spillover effects 
ANOVA/MANOVA
balanced and unbalanced designs • factorial, nested, and mixed designs • repeated measures • marginal means • contrasts 
Exact statistics
exact logistic and Poisson regression • exact case–control statistics • binomial tests • Fisher’s exact test for r × c tables 
Linearized DSGE models
specify models algebraically • solve models • estimate parameters • identification diagnostics • policy and transition matrices • IRFs • dynamic forecasts 
Tests, predictions, and effects
Wald tests • LR tests • linear and nonlinear combinations • predictions and generalized predictions • marginal means • leastsquares means • adjusted means • marginal and partial effects • forecast models • Hausman tests 
Contrasts, pairwise comparisons, and margins
compare means, intercepts, or slopes • compare to reference category, adjacent category, grand mean, etc. • orthogonal polynomials • multiplecomparison adjustments • graph estimated means and contrasts • interaction plots 
GMM and nonlinear regression
generalized method of moments (GMM) • nonlinear regression 
Simple maximum likelihood
specify likelihood using simple expressions • no programming required • survey data • standard, robust, bootstrap, and jackknife SEs • matrix estimators 
Programmable maximum likelihood
userspecified functions • NR, DFP, BFGS, BHHH • OIM, OPG, robust, bootstrap, and jackknife SEs • Wald tests • survey data • numeric or analytic derivatives 
Resampling and simulation methods
bootstrap • jackknife • Monte Carlo simulation • permutation tests 

Time series
ARIMA • ARFIMA • ARCH/GARCH • VAR • VECM • multivariate GARCH • unobserved components model • dynamic factors • statespace models • Markovswitching models • business calendars • correlograms • periodograms • forecasts • impulseresponse functions • unitroot tests • filters and smoothers • rolling and recursive estimation 
Survival analysis
Kaplan–Meier and Nelson–Aalen estimators, • Cox regression (frailty) • parametric models (frailty, random effects) • competing risks • hazards • timevarying covariates • left and rightcensoring, Weibull, exponential, and Gompertz models 
Bayesian analysis
thousands of builtin models • univariate and multivariate models • linear and nonlinear models • continuous, binary, ordinal, and count outcomes • continuous univariate, multivariate, and discrete priors • add your own models • adaptive Metropolis–Hastings sampling • Gibbs sampling • convergence diagnostics • posterior summaries • hypothesis testing • model comparison 
Power and sample size
power • sample size • effect size • minimum detectable effect • means • proportions • variances • correlations • ANOVA • case–control studies • cohort studies • contingency tables • survival analysis • balanced or unbalanced designs • results in tables or graphs 
Treatment effects
inverse probability weight (IPW) • doubly robust methods • propensity score matching • regression adjustment • covariate matching • multilevel treatments • endogenous treatments • average treatment effects (ATEs) • ATEs on the treated (ATETs) • potentialoutcome means (POMs) • continuous, binary, count, fractional, and survival outcomes 
SEM (structural equation modeling)
graphical path diagram builder • standardized and unstandardized estimates • modification indices • direct and indirect effects • continuous, binary, count, ordinal, and survival outcomes • multilevel models • random slopes and intercepts • factors scores, empirical Bayes, and other predictions • groups and tests of invariance • goodness of fit • handles MAR data by FIML • correlated data • survey data 
Latent class analysis
binary, ordinal, continuous, count, categorical, fractional, and survival items • add covariates to model class membership • combine with SEM path models • expected class proportions • goodness of fit • multilevel models • predictions of class membership 
Multiple imputation
nine univariate imputation methods • multivariate normal imputation • chained equations • explore pattern of missingness • manage imputed datasets • fit model and pool results • transform parameters • joint tests of parameter estimates • predictions 
Survey methods
multistage designs • bootstrap, BRR, jackknife, linearized, and SDR variance estimation • poststratification • DEFF • predictive margins • means, proportions, ratios, totals • summary tables • regression, instrumental variables, probit, Cox regression • more 
Cluster analysis
hierarchical clustering • kmeans and kmedian nonhierarchical clustering • dendrograms • stopping rules • userextensible analyses 
IRT (item response theory)
binary (1PL, 2PL, 3PL), ordinal, and categorical response models • item characteristic curves • test characteristic curves • item information functions • test information functions • differential item functioning (DIF) 
Multivariate methods
factor analysis • principal components • discriminant analysis • rotation • multidimensional scaling • Procrustean analysis • correspondence analysis • biplots • dendrograms • userextensible analyses 
Nonparametric methods
Wilcoxon–Mann–Whitney, Wilcoxon signed ranks, and Kruskal–Wallis tests • Spearman and Kendall correlations • Kolmogorov–Smirnov tests • exact binomial CIs • survival data • ROC analysis • smoothing • bootstrapping 
Epidemiology
standardization of rates • case–control • cohort • matched case–control • Mantel–Haenszel • pharmacokinetics • ROC analysis • ICD10 

Data management
data transformations • matchmerge • import/export data • ODBC • SQL • XML • bygroup processing • append files • sort • row–column transposition • labeling • saving results 
Graphics
line charts • scatterplots • bar charts • pie charts • hi–lo charts • contour plots • GUI Editor • regression diagnostic graphs • survival plots • nonparametric smoothers • distribution Q–Q plots 
Graphical user interface
menus and dialogs for all features • Data Editor • Variables Manager • Graph Editor • Project Manager • Dofile Editor • Clipboard Preview Tool • multiple preference sets 
Documentation
27 manuals • 14,000+ pages • seamless navigation • thousands of worked examples • quick starts • methods and formulas • references 
Basic statistics
summaries • crosstabulations • correlations • z and t tests • equalityofvariance tests • tests of proportions • confidence intervals • factor variables 
Other statistical methods
kappa measure of interrater agreement • Cronbach's alpha • stepwise regression • tests of normality 
Functions
statistical • randomnumber • mathematical • string • date and time 
Internet capabilities
ability to install new commands • web updating • web file sharing • latest Stata news 
Userwritten commands
userwritten commands for metaanalysis, data management, survival, econometrics. 
Programming features
adding new commands • command scripting • objectoriented programming • menu and dialogbox programming • Project Manager • plugins 
Matrix programming—Mata
interactive sessions • largescale 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 • objectoriented programming 
Embedded statistical computations
Installation Qualification
IQ report for regulatory agencies such as the FDA • installation verification 
Accessibility
Section 508 compliance, accessibility for persons with disabilities 
