This includes the Intel i3, i5, i7, i9, Xeon, and Celeron, and AMD multi-core chips. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. Stata/MP is the fastest and largest version of Stata.

Numerics by Stata: Stata for embedded and web applications.

Stata/MP: The fastest version of Stata (for quad-core, dual-core, and multicore/multiprocessor computers) that can analyze the most data.

Whether you’re a student or a seasoned research professional, we have a package designed to suit your needs:

Stata Software is available in 3 different flavours T his is a great way to explore all of the capabilities of Stata. You can even access the dialog boxes for each command directly from the online help system. You can completely reshape your data, create group-level variables for panel or longitudinal data, graph a receiver operating characteristics (ROC) curve or impulse-response function (IRF), perform a case-control analysis, estimate a random-effects count-data model or a Cox proportional hazards model, or compute marginal effects from a nonlinear estimator. With Stata's menus and dialogs, you can easily point and click or drag and drop your way to all of Stata's statistical, graphical, and data management features. Stata is not sold in modules, which means you get everything you need in one package.Įasy to learn yet fully programmable for the most demanding data management and statistical requirements. Stata statistical software is a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics. Easy to learn but mighty scripting language.Flexible and especially powerful for analysis of time series.Wide range of statistical and graphical methods.No matter if you are a student or a senior researcher, there is always the right version of Stata available: Stata/BE, Stata/SE and Stata/MP The large amount of different statistical methods helps scientists in all fields of applications (Social science, econometrics, epidimiology, medical research). Typically Stata is used in research and development. You can use it for descriptive statistics, hypothesis testing and visualization of data. Stata produces all kinds of classical statistics. A mighty scripting language completes the package.

Kaplan-Meier-curves are the way to analyse survival times, while mixed models help to analyse panel data. Further you are able to model volatility using GARCH-models in Stata. Stata provides not only the basic time series models like ARIMA but even the multivariate equivalents (VAR/VEC-Models) as well. Stata's expertise lies in the analysis of time based data.

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