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Stata 18

Stata er den komplette pakke til dataanalyser, datahåndtering og datavisualisering

Stata er en komplet og kraftfuld statistisk pakke beregnet til forskere inden for alle discipliner. Du får alt, hvad du har brug for i én samlet pakke. Takket være det brugervenlige miljø, som er bygget op omkring konceptet med peg-og-klik, intuitivt kommandosprog og online hjælp, vil du hurtigt kunne begynde at bruge dette avancerede værktøj. Alle analyser og resultater kan derefter gengives og dokumenteres til dine publikationer.

Du har hundredvis af statistiske værktøjer og metoder til rådighed. Disse omfatter alt fra grundlæggende til avancerede statistiske metoder og analyser. Den indeholder også en lang række kommandoer til håndtering af datafiler og store datasæt. Du finder også mange nyttige metoder til at fremstille grafer og statistiske diagrammer af høj kvalitet, som du direkte kan bruge i dine publikationer og artikler.

Fås til Windows, Mac og Unix/Linux.

Info

Nyheder

Nye funktioner i Stata 18

Stata 18 is finally here! The all-in-one complete package for data analyses is now packed with even more features that make data manipulation, visualisation and reporting easier than ever before. Get ready to take your research to the next level!

Stata 18 Logo

What’s new in Stata 18: An overview (YouTube video)

Stata 18 blev udgivet den 20. april 2023!

Nye funktioner i Stata 18

Uncertain which predictors to use in your regression? Use Bayesian model averaging to account for this uncertainty in your analysis. Explore influential models and predictors, obtain better predictions, and more.

Causal analysis quantifies causal effects. Causal mediation analysis disentangles them. Are these effects mediated through another variable? Estimate direct and indirect effects. Calculate the proportion mediated.

Estimate treatment effects that vary over groups and time. Fit models for repeated cross-sectional or panel data. Visualize effects. Aggregate effects within group, time, or exposure to treatment.

White background • Horizontal y-axis labels • Bright color palette • Side legend • And more. You can also graph colors by variable.

Create tables of descriptive statistics more easily with the new dtable command! Export to Word, Excel, PDF, LaTeX, HTML, Markdown, and more.

Use variables from multiple datasets as if they exist in one. And you can now work with frame sets.

Calculate efficacy and futility-stopping bounds for clinical trials. Find required sample sizes for interim and final analyses when testing proportions, means, or survivor functions.

Do your studies have effect sizes nested within multiple grouping levels? Use multilevel meta-analysis to account for possible dependence among the effect sizes when combining results.

You asked, we delivered! Perform meta-analysis for proportion or prevalence. Produce forest plots. Explore heterogeneity. Perform subgroup analysis. And more.

Stata’s robust features for linear models became even more robust. Learn how.

Small number of clusters? Unequal observations per cluster? No problem! Wild cluster bootstrap handles them all.

How do exposures interact to increase risk? Use reri to find out.

Incorporate time-varying covariates in your interval-censored Cox analysis, including prediction and plots of survivor and other functions!

Select variables in a Cox model using lasso and elastic net. Compute predictions. Graph survivor, failure, and other functions.

Want to know whether your survival model fits your data well? estat gofplot makes this easy. Use it with right-censored and interval-censored data, parametric and semiparametric models, and more.

Estimate impulse–response functions (IRFs) via local projections. Test hypotheses of multiple IRF coefficients. Graph IRFs, orthogonalized IRFs, and dynamic multipliers.

Compare potential ARIMA or ARFIMA models using AIC, BIC, and HQIC. Select the best number of autoregressive and moving-average terms.

Estimate demand for a basket of goods. Evaluate sensitivity to price and expenditure changes. Choose from eight demand systems, including Cobb–Douglas, translog, AIDS, and QUAIDS.

Estimate effects of covariates on quantiles of the outcome’s conditional distribution. Account for endogeneity. Plot coefficients across quantiles.

Modeling a proportion or rate? Have endogenous covariates? Fit your model with ivfprobit.

Interface enhancements

  • Data Editor: Pinnable rows and columns, tooltips for truncated text, variable labels in headers, much more.
  • Do-file Editor: Automatic backups and syntax highlighting for user-defined keywords.

And even more…

  • Corrected and consistent AICs
    Compare models using consistent AIC (CAIC). Or, with small sample size, use corrected AIC (AICc).
  • New spline functions
    Revamped spline generation tool—new makespline—supports B-splines and generates splines for multiple variables at once.
  • Vectorized numerical integration
    Approximate multiple numerical integrals simultaneously. Adaptive Gauss–Kronrod and Simpson methods. Robustness to singular points.
  • Boost-based regular expressions
    Regular expression functions now use Boost. More features. More functions.
  • New reporting features
    putdocx: Bookmarks in paragraphs and tables, image text for voice software, and SVG images in Word.
    putexcel: Freeze worksheets, add page breaks, include hyperlinks, and insert headers/footers in Excel.
  • Week-related datetime functions.
    Export to SPSS.
    Bacon treatment-effect decomposition.
    And even more…

Learn more about the new features in Stata 18:


Nye funktioner i Stata 17

Stata 17 blev annonceret den 20. april 2021!

Klik her for en oversigt over alle de nye funktioner i version 17:

Nogle højdepunkter af de nye funktioner i Stata 17

Bemærk venligst, at IC-udgaven er blevet omdøbt til BE (Basic Edition) i version 17.

Borde, der kan tilpasses

Create both standard and customized tables, whether you want a table for the web, a table for your paper in Word®, or that table for your LaTeX paper.

Bayesiansk økonometri

Du kan lave økonometri og Bayesiansk statistik og kombinerer begge for at lave Bayesiansk økonometri.

PyStata – Python og Stata

PyStata giver dig mulighed for at kalde direkte fra ethvert selvstændigt Python-miljø og ringe til Python direkte fra Stata, hvilket i høj grad udvider dets Python-integrationsfunktioner.

Jupyter Notebook

Nu kan du påberåbe dig Stata og Mata fra Jupyter Notebooks med IPython (interactive Python) kernen, hvilket betyder, at du kan kombinere funktionerne i både Python og Stata i et enkelt miljø for at gøre dit arbejde let reproducerbart og delbart med andre.

Making Stata hurtigere

Stata værdier nøjagtighed og hastighed. Der er ofte en afvejning mellem de to, men Stata stræber efter at give brugerne det bedste fra begge verdener. Vi optimerer og forbedrer løbende vores rutiner for at udnytte moderne computerkraft og algoritmer, så Stata kører endnu hurtigere.

Bayesiansk modellering på flere niveauer

Mange discipliner bruger flerniveaumodeller til at modellere gruppespecifikke effekter, som kan opstå på forskellige niveauer af hierarki. Tænk på regioner, stater indlejret i regioner og virksomheder indlejret i stater inden for regioner. Eller tænk på hospitaler, læger indlejret inden for hospitaler, og patienter indlejret inden for læger indlejret inden for hospitaler.

Og mange flere nye funktioner...

Klik her for en oversigt over alle de nye funktioner i version 17:

Systemkrav

Systemkrav

  • Windows 11, 10, Windows Server 2022, 2019, 2016 and 2012 R2 (64-bit only)
  • macOS 11.0 (Big Sur) or newer for Mac med Apple Silicon or Intel processor (Core i3 or better)
  • Linux: Any 64-bit (Core i3 equivalent or better) running Linux
  • RAM: 4 GB (MP), 2 GB (SE), and 1 GB (BE)
  • Harddisk: 2 GB

Licenser

Licensmuligheder

Fire udgaver af Stata

  • BE – Basic Edition
    Max 2047 variables and 2.14 billion observations.
  • SE – Standard Edition
    For large datasets. Max 32 767 variables and 2.14 billion observations.
  • MP – Multi-Processor Edition
    Multi-processor udgave. En hurtigere version designet til at bruge nutidens computere med multicore-processorer og parallel processorkraft. Leveres af antallet af nødvendige kerner, såsom MP2, MP4, MP8 osv. Maks. 20 milliarder observationer, begrænset af hardwarehukommelse.

Licensmuligheder

  • Enkeltbruger
  • Netværk
  • Flydende netværkslicenser
  • Volumenlicenser

Alle licensmuligheder er abonnementsbaserede.

Kontakt os i dag for et tilbud!

Support

Support

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