Mata is both an interactive environment for manipulating matrices and a full development environment that can produce compiled and optimized code. Though you don't need to program to use Stata, a fast and complete matrix programming language is an integral part of Stata. Or, with the integrated Graph Editor you click to change anything about your graph or to add titles, notes, lines, arrows, and text. You can write scripts to produce hundreds or thousands of graphs in a reproducible manner and export them to EPS or TIF for publication, to PNG for the web, or to PDF for viewing. Stata makes it easy to generate publication-quality, distinctly styled graphs, including regression fit graphs, distributional plots, time-series graphs, survival plots, and contour plots. Stata also has advanced tools for managing specialized data such as survival/duration data, time-series data, panel/longitudinal data, categorical data, multiple-imputation data, and survey data. You can work with byte, integer, long, float, double, and string variables. Stata's data-management commands give you complete control of all types of data: you can combine and reshape datasets, manage variables, and collect statistics across groups or replicates. Stata puts hundreds of statistical tools at your fingertips, from advanced techniques, such as survival models with frailty, dynamic panel data (DPD) regressions, generalized estimating equations (GEE), multilevel mixed models, models with sample selection, multiple imputation, ARCH, and estimation with complex survey samples to standard methods, such as linear and generalized linear models (GLM), regressions with count or binary outcomes, ANOVA/MANOVA, ARIMA, cluster analysis, standardization of rates, case-control analysis, and basic tabulations and summary statistics. All analyses can be reproduced and documented for publication and review.

With a point-and-click interface, an intuitive command syntax, and online help, Stata is easy to use, fast, and accurate.

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