Führender Anbieter von Software-Lösungen für Wissenschaftler

STATA 15 - Das statistische Referenz-Softwarepaket, ein Muss für Ihre gesamte Datenverarbeitung.

Stata ist eine umfassende Statistik-Software, die alle Ihre Verwaltungsanforderungen, Analysen und Visualisierungen Ihrer Daten erfüllt. Es ist einfach zu bedienen durch seine GUI und Programmiersprache, die einfach und intuitiv sind.

Es ist ein leistungsfähiges und schnelles Werkzeug zur Verarbeitung Ihrer Daten und passt sich der Leistung Ihrer Maschinen und dem Volumen der zu verarbeitenden Datensätze an. Es wird in so unterschiedlichen Bereichen wie Ökonometrie, Epidemiologie, Biostatistik, Sozial- und Politikwissenschaften eingesetzt, wo es eine Referenzsoftware ist.

  • 5
  • gute Gründe, dieses Produkt zu verwenden

  1. - Komplette Statistiksoftware
  2. - Einfach zu erlernen und zu bedienen
  3. - Referenzsoftware für Ökonometrie, Epidemiologie und Untersuchung
  4. - Technischer Support und umfangreiche Dokumentation
  5. - Einfache und schnelle Verarbeitung von voluminösen Datensätzen


Why Choose STATA?


Complete software (management, analysis, data visualization) For econometrics, epidemiology and investigation
Data Management:
Import / export, data processing, ODBC support, data games, specific data management (transverse data: panel data, time series, longitudinal data, cross-sectional data, etc.)
Main statistic features :
Contrast, pairwise, comparison and margins, Epiepidemiology, GMM, longitudinal data / panel data, Bayesian analysis, Structural Equation Modelling (SEM), Investigation of Surveys, Treatment effects, Temporal Series

Quality graphical output for your publications and reports: 

Reproducibility, Tests, Certification (FDA):

  1. Reproducibility between different operating systems and different versions of Stata
  2. Controls and functions tested, verified and certified
  3. FDA certified for submissions to regulatory agencies

Simple to use and easy to learn, even for non-programmers
Technical support from StataCorp:

  1. Rapid, accurate and detailed responses
  2. Response by researchers and subject matter experts (Masters, PhD)

Documentation, sharing of resources, community of users:

  1. Dozens of books on Stata and statistics, 12,000 pages of available manuals in PDF, videos, FAQ
  2. User forum, Stata researchers blog, user-written commands
  3. Stata Journal: Class A review
  4. Stata Users Group Meeting

1 complete package without additional modules
Compatible with any platform (Windows, Mac, Linux)
Fast and adapted to the engine power and volume of data to be processed (Stata IC / SE / MP):

  1. Stata / IC: Stata for moderate data sets
  2. Stata / SE: Stata for voluminous data sets
  3. Stata / MP: The fastest version of Stata (for dual-core and multicore / multiprocessor computers)

Affordable prices
Permanent license


Software Nb. max.
of variables

Nb. max.


Nb. max.

Design for

parallel computing?

Stata/MP 32 767 10 998 20 milliards* yes Yes Win, Mac
or unix
Stata/SE 32 767 10 998 2,14 milliards* Yes No Win, Mac
or Unix
Stata/IC 2 048 798 2,14 milliards* Yes No Win, Mac
or Unix



Stata 15 - Version d'essai




Data management

Data processing, match-merge, data import/export, ODBC, SQL, XML, by treatment group, add files, sorting, line transposition, labeling, and saving results, and much more.



Curves, scatter plot, histograms, pie charts, hi-lo graphics, lines of contours, graphics editor, diagnostic regression diagrams, non-parametric smoothing, the distribution of Q-Q graphs, and much more.

Basic statistics

Summaries, cross-tabs, correlations, t tests, equal variance tests, proportions tests, confidence intervals, factorial variables, and much more...


Graphical user interface

Results window, Control window, Review window, Data editor, Variable header, Publisher Ne-file, Variable properties, Viewer, Clipboard preview tool, Menus/dialogs for all commands, Multiple preferences, and much more...

Longitudinal data / Panel data

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 regression of instrumental variables; AR (1) perturbations, and much more...


Time series

ARIMA, ARFIMA, ARCH/GARCH, VAR, VECM, multivariate GARCH, unobserved-components model, state-space models, business calendars, forecasts, impulse-response functions, unit-root tests, smoothers, and much more...

Multilevel mixed-effects models

Continuous and binary results; crossed random-effects; ML and REML estimation; residual error structures, support for survey data in multilevel linear models, and much more...


Survey methods

Bootstrap, BRR, jackknife, linearized, and SDR variance estimation; poststratification; DEFF; predictive margins; averages, proportions, ratios, totals; summary tables; instrumental variables, probit, Cox regression, and much more...


Balanced and unbalanced designs; factorial, nested, and mixed designs; repeated measures; marginal means; contrasts, and much more...


Survival analysis

Kaplan-Meier and Nelson-Aalen estimators, Cox regression (frailty), parametric models (frailty); competing-risks; covariates; left-, right-, and interval-censoring, Weibull, exponential, and Gompertz models Sampling weights and survey data, and much more...

SEM (Structural equation modeling)

Graphical model builder, standardized and unstandardized estimates, modification indices, direct and indirect effects, path diagrams, factor scores and other predictions, estimates with invariance groups and testing, fit quality, MAR data manipulation by FIML, survey data, aggregated data, and much more...


Tests, predictions and effects

Wald tests, LR tests; linear and nonlinear combinations, predictions and generalized predictions, marginal means, least-squares means, adjusted means; marginal and partial effects; Hausman tests, and much more...

Multivariate methods

Factor analysis, principal components, discriminant analysis, rotation, multidimensional scaling, Procrustean analysis, correspondence analysis, biplots, dendrograms, and much more...


Contrasts and pairwise comparisons

Compare means, intercepts, or slopes, compare with adjacent categories; compare with reference category or grand mean; orthogonal polynomials, multiple-comparison adjustments; interaction effects, graphical effects and potential results, and much more..

Generalized linear models (GLM)

Ten links functions, user-defined links, seven distributions, ML and IRLS estimation, nine variance estimators, seven residuals, and much more...



Standardization of rates, case-control, cohort, matched case-control, Mantel-Haenszel, pharmacokinetics, ROC analysis, ICD-9-CM, and much more...

Non-parametric methods

Wilcoxon-Mann-Whitney ranking, Wilcoxon, and Kruskal-Wallis tests; Spearman and Kendall correlations; Kolmogorov-Smirnov tests; Exact binomial CIs; Survival data, ROC analysis; Smoothing; Bootstrapping, and much more...


Other statistical methods

Sample size an weight, Kappa measure of interrater agreement, Cronbach's alpha, mathematical and statistical functions, and much more...

Accurate statistics

Logistic and exact Poisson regression, exact case-control of statistics, binomial tests, exact Fisher test for r × c tables, and much more...


Nonlinear GMM regression

Generalized method of moments (GMM), non-linear regression, and much more...

Resampling and simulation methods

Bootstrap, jackknife, and Monte Carlo simulation, permutation tests, and much more...


Maximum likelihood

User specified functions; NR, DFP, BFGS, BHHH; OIM, OPG, robustness, bootstrap, and jackknife; Wald tests; survey data; numeric or analytic derivatives, and much more...

Internet capacity

The possibility of installing new commands, web updates, sharing of web files, the latest news from Stata, and much more...


Programming language

Adding new commands, script command, if, while, analysis command, debugging, menu and programming dialog, markup and language control, and much more...

User written commands

For meta-analysis, data management, survival, econometrics, and much more...


Installation qualification

QI report for regulatory bodies such as FDA, verification of the accessibility of the facility for disabled persons.

Stata is a registered trademark of StataCorp LP, College Station, TX, USA, and the Stata logo is used with permission from StataCorp.

Die neuen Funktionen




The new features of Stata 15 can be used by all Stata users regardless of their discipline.




New data management options:


  • New export features: new commands for export in Word, PDF, HTML and LateX format
  • Import and browse FRED data (Federal Reserve Economic Data)





Examples of new models integrated to Stata 15:


  • DSGE modelsFinite Mixture Models (FMM)
  • SAR models (Spatial Autoregressive Models or simultaneous regression models)
  • Non-linear Mixed Effects Models
  • Mixed Logit Model
  • Nonparametric Regression (Kernel Method)
  • Threshold Regression







Extension of Regression Models








Latent Classes Analysis (LCA): 



New commands for:

  • Panel data
  • Survival analysis
  • Bayesian Analysis
  • Structural Equation Models (SEM)
  • Time Series




  • Windows 10 *
  • Windows 8 *
  • Windows 7 *
  • Windows Vista *
  • Windows Server 2016, 2012, 2008, 2003 *

 (*) * 64-bit and 32-bit Windows varieties for x86-64 and x86 processors made by Intel® and AMD®.



  • Stata for macOS requires 64-bit Intel® processors (Core™2 Duo or better) running macOS 10.9 or newer



  • Any 64-bit (x86-64 or compatible) or 32-bit (x86 or compatible) running Linux
  • For xstata, you need to have GTK 2.24 installed



Package Memory (RAM) Disk Space
Stata/MP 4 GB 1 GB
Stata/SE 2 GB 1 GB
Stata/IC 1 GB 1 GB
    Stata for Unix requires a video card that can display thousands of colors or more (16-bit or 24-bit color)


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