Dienstag, 29. November 2016

SUGM Success



Stata Users Group Meeting in Bern, November 2016 : a conference to remember

Stata Users Group Meetings

Stata Users Group Meetings


Dear members of the Stata Community,

The Stata User Group Meeting we have been holding in Bern the 17th of November 2016 has been a tremendous experience. It was the first Swiss Stata User Group Meeting with 45 participants, 10 speakers, one tasty lunch, 2 well-deserved coffee breaks, as well as more than interesting discussions about Stata applications.

Thanks to the University of Bern as well as the editor StataCorp, whose organisations supported us all the way through with this project, we were able to receive the attendees and speakers in the marvelous venue of the Haus der Universität Bern.

A first Swiss Stata User Group Meeting it was, but it’s been definitely cosmopolite: academics, students, researchers and executives from our country but also from France, Germany, Luxemburg etc. We even had the pleasure to hear speakers from the University of Freiburg in Germany, Luxemburg Institute of Socio Economic Research and many others; Rose Mederios, Senior Statistician, from the Educational Services at StataCorp, came all the way from the USA to offer a presentation on Handkling Missing Data in Stata. This exceptional diversity amongst presentations and attendees led to a dense, high-quality conference with top-notch speakers. We were all the more excited to receive spontaneous tremendous feedback, as this was our very first edition: the verbatim hereafter speaks for itself.
For those wanting to catch up, you will find also the PDF of the presentations that were held during the day.

We won’t stop here. Next step? 2017. Paris. You have a whole year to work on the presentations you’d like to submit.
See you very soon, and thanks to all of you, Stata users!


RITME         STATA        Haus der Universität Bern


All presentations

Data consolidation and cleaning using fuzzy string comparisons with the matchit command

Julio Raffo

"Match of the day": Finding least proximal measurements to a given date with fmatch

Viktor von Wyl
(University of Zurich)

Handling missing data in Stata: Imputation and likelihood-based approaches

Rose Medeiros
(StataCorp LP)

Reproducible research with Stata

E.F. Haghish
(University of Freiburg)

Effective plots to assess bias and precision in method comparison studies

Patrick Taffé
(University of Lausanne)

New figure schemes for Stata: plotplain and plotting

Daniel Bischof
(University of Zurich)

Creating LaTeX and HTML documents from within Stata using textdoc and webdoc

Ben Jann
(University of Bern)

The assessment of fit in the class of logistic regression models: A pathway out of the jungle of pseudo-R2s using Stata

Wolfgang Langer
(University of Halle-Wittenberg)

Counterfactual distributions: Estimation and inference in Stata

Blaise Melly
(University of Bern)

Distribution regression made easy

Philippe van Kerm
(Luxembourg Institute of Socio-Economic Research)

Easy multipanel plotting with grcomb

Alex Gamma
(Psychiatric University Hospital, Zurich)




This was a great day, well organised and with interesting and relevant talks. I learnt things which I will now apply in my work!

Fiona Vanobberghen (née Ewings), PhD, Swiss Tropical and Public Health Institute




Donnerstag, 3. Dezember 2015

Neu update Stata 14.1

Stata 14.1 is available now and is a no-cost update to Stata 14. You and your customers may type update query and follow the instructions to obtain the updates

Features in Stata 14.1

Der Originaltext des Verlegers wurde beibehalten, um keine Informationen zu verlieren.

Bayesian analysis
The new Bayesian analysis features introduced in Stata 14 now have dramatically improved performance and capabilities when working with latent variables and with panel and multilevel models. And, there is more in Bayesian analysis. See help whatsnew after updating.
The ICD-10 facilities now work with all codes from 2003 to 2015.
Multiple imputation
You can now add your own imputation methods to mi impute—Stata’s main engine for handling multiple imputation of missing data. It is simple. After updating, type help mi impute usermethod for documentation and examples.
Propensity-score matching
Propensity-score matching via teffects psmatch is now much faster for large datasets.
Those who use IRT (item response theory) will be glad to see the new diflogistic command that performs the logistic regression test for uniform and nonuniform differential item functioning (DIF). The Mantel–Haenszel test has improvements too. Type help difmh after updating.
More CIs
You can now get confidence intervals (CIs) for variances and standard deviations from the ci commands.
Mixed models
Small-sample denominator-degree-of-freedom adjustments such as Kenward–Roger and Satterthwaite can now be performed when estimating contrasts via the contrast command after estimating linear mixed models.
Exporting results to Excel®
The syntax for exporting estimation and other results to Excel spreadsheets has been dramatically simplified. You can also easily choose and export estimation and other results using the intuitive and functional dialog box.
MLEs of expressions
You can now predict expected means after mlexp—maximum likelihood estimation (MLE) of any expression you specify. This also implies that margins can be used after mlexp to estimate marginal and conditional effects, estimated marginal means, and predictive margins. mlexp also now supports linear constraints.
High DPI support
Under Windows, high DPI monitors are now better supported. A host of icon sizings keep your icons looking good when working at higher resolutions.

Donnerstag, 27. März 2014


Entdecken Sie die neuen Funktionen von STATA 13, illustriert und detailliert.

THE STATA NEWS ist ein gutes Hilfsmittel um die neuen Funktionen von STATA 13 durch Illustrationen, konkrete Beispiele und spezifische technische Informationen zu entdecken. Erhalten Sie kostenfrei THE STATA NEWS !


recevez la stata news

Mittwoch, 15. Januar 2014

Stata 13.1 erhältlich

Der Upgrade zu Stata 13.1 ist nur für die Kunden möglich, die schon in Besitz von Stata 13 sind.

Wie kann ich den Upgrade von meiner Version Stata 13 nach Stata 13.1 vornehmen?

Sie müssen nur :

  • Update query in Stata 13 eingeben, und den Anweisungen auf dem Bildschirm folgen.
  • Oder "Check for updates" wählen im Hilfsmodul von Stata 13

Ich bin nicht in Besitz von Stata 13. Wie kann ich dennoch die Neuheiten der Version 13.1 erhalten?

Sie müssen den Upgrade zur Version 13 vornehmen. Hier haben Sie Zugriff auf unsere Upgrade Preise und können online Ihre Bestellung durchführen.

Mehrere neue Funktionen in Stata 13.1 

(Der Quellentext des Verlegers wurde beibehalten, um den Verlust von Informationen zu vermeiden).

Censored outcomes

If you analyze data with Gaussian dependent variables that are censored, you will want to update to Stata 13.1. You can now do just about anything you want with such outcomes. Extensions of tobit and censored regression models include the following :

  • Selection models
  • Random effects and coefficients
  • Endogenous covariates
  • Treatments effects (ATEs)
  • Multivariate models
  • Unobserved components
  • Endogenous switching models

All of these models may be conbined with each other. For example, you can specifiy a tobit model with random effects, random coefficients, sample selection, and endogenous covariates. Moreover, the random coefficients can occur in both the outcome and selection models.

All of these features are implemented throught extensions to Stata's gsem (generalized SEM) command and graphical SEM Builder.


Power and sample size

The power command that was introduced in Stata 13 has new methods for analysis of ANOVA models :

  • One-way models
  • Two-way models
  • Repeated-measures models

Like other power methods, you can compute (1) sample size, (2) power, or (3) effect size. Compute any of the three given the other two.

You just tell power what you know, and it produces tables and graphs of what you want to know.

Stata 13.1 also introduces facilities to easily add your own new methods to the power command and produce tables and graphs of results automatically.

Power and sample size

Time series

Stata 13.1 also adds several new features for the analysis of univariate time series :

  •  IRFs (impulse—response functions) for ARIMA and ARFIMA models
  • Autocorrelation functions from ARIMA and ARFIMA models
  • Parametrics spectral densities for seasonal ARIMA models
  • Stability checks for ARIMA models

All of your favorite multivariate tools can now be applied to univariate models.

Time series

Time series





Montag, 19. November 2012

STATA und Windows 8


FAQ 1 : Funktioniert Stata auf Windows 8?

Stata funktioniert ohne Probleme auf Windows 8, sei es auf PC's, notebooks und Server.

FAQ 2 : Funktioniert Stata auf Windows RT?

Windows RT ist eine Windows 8 Version für Tablets wie zum Beispiel "Surface" von Microsoft:

Es gibt zwei Versionen von Windows RT:
- Windows RT - welches ohne tools und compiler bestückt ist.
Stata ist NICHT kompatibel mit Windows RT.
- Windows 8 Pro - für zukünftige Tabletten wir "Surface Pro" von Microsoft:
Stata sollte kompatibel sein mit Windows 8 Pro; es wurde aber noch nicht getestet, weil die "Surface Pro" Tablette noch nicht erhältlich ist.

Interessiert? Testen Sie das Produkt oder kaufen Sie es.