Stata v10.0

Stata is a complete, integrated statistical package
that provides everything you need for data analysis,
data management, and graphics.
Stata 10 adds many new features such as multilevel
mixed models, exact logistic regression, multiple
correspondence analysis, a graph editor, and
time-and-date variables.
-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 postestimation 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
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