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Fourth Italian Stata Users Group meeting

Photo by Kevin Connors
Dates: Monday and Tuesday, September 24–25, 2007
Venue: Hotel Artemide
Via Nazionale 23
Rome, Italy
Days attending Price per person*
Day 1 only €90
Day 1 + course “Meta-analisi con Stata” €295
Day 1 + course “Modeling Count Data” €295
Optional dinner TBD
See Registration and accommodations for more details.
*Prices include refreshments or lunch.

Announcement and call for papers

TStat S.r.l., certified Stata distributor in Italy, announces the fourth Italian Stata Users Group meeting, to be held in Rome on September 24–25, 2007, at the Hotel Artemide, Via Nazionale 23, Rome. The meeting will give Stata users working in different research areas the opportunity to exchange ideas, experiences, and information on new applications of the software. Stata users interested in contributing to the meeting are therefore encouraged to submit their proposals to the scientific committee. We particularly encourage proposals based on

Monday, September 24, 2007

The meeting will be organized in four sessions. Presentations may be in English or Italian, depending on the speaker’s preference. The first session is reserved for the invited speaker, Nick Horton (Department of Statistics, Smith College, USA):

Analysis of multiple source/multiple informant data in Stata (in English)

We describe regression-based methods for analyzing multiple-source data arising from complex sample survey designs in Stata. We use the term multiple-source data to encompass all cases where data are simultaneously obtained from multiple informants, or raters (e.g., self-reports, family members, health care providers, administrators) or via different/parallel instruments, indicators or methods (e.g., symptom rating scales, standardized diagnostic interviews, or clinical diagnoses). This is an important problem in many social science and medical research areas. We review regression models for analyzing multiple source risk factors and multiple source outcomes and show that they can be considered special cases of generalized linear models, albeit with correlated outcomes. We show how these principled data combination methods can be extended to handle the common survey features of stratification, clustering, and sampling weights as well as missing reports, and how they can be fit within Stata. The methods are illustrated using data from health services research.

The final program will be posted in early August.

Tuesday, September 25, 2007

Two training sessions will be offered on the second day of the meeting. The courses will run simultaneously from 9:00 AM until 5:30 PM.

Meta-analisi con Stata (in Italiano)

L’obiettivo di questo corso è quello di fornire ai partecipanti la conoscenza sia teorica che applicata necessaria per produrre autonomamente una revisione sistematica della letteratura scientifica per lo studio di una ipotesi ben definita. In particolare, il corso si soffermerà sulla parte statistica del processo di revisione sistematica, conosciuta con il nome di meta-analisi, enfatizzando l'interpretazione dei risultati piuttosto che la parte computazionale. La meta-analisi rappresenta una tecnica statistica consolidata nel settore biomedico per aggregare in maniera formale i risultati numerici provenienti da diversi studi, ed ha visto un rapido sviluppo in questi ultimi anni per diversi motivi: la crescita esponenziale di articoli medici pubblicati nella letteratura; gli studi clinici/epidemiologici spesso forniscono risultati contrastanti o non definitivi; evitare il ripetersi di studi quando esiste ormai una sufficiente evidenza scientifica di una determinata associazione.
Modeling count data (in English)

The Modeling count data course will be given by Prof. Joseph Hilbe. The course will discuss the logic of modeling count response data and provide an overview of the theory and application of Poisson and negative binomial regression. We shall give examples of how to select the most appropriate model and how to differentiate and deal with apparent from real overdispersion. Models discussed are: Poisson, negative binomial (NB-2), NB-1, heterogeneous (generalized) negative binomial, canonical negative binomial (NB-C), NB-P (where exponent is parameterized), zero-inflated models, zero-truncated models, negative binomial with endogeneous stratification, hurdle models, censored Poisson and negative binomial, panel models including fixed effect, random effect, GEE, and mixed models

Course text:
Hilbe, Joseph M. 2007.
Negative Binomial Regression. Cambridge University Press.

Click here to view the call for papers in Italian.
Click here to view the announcement in Italian.

Submission guidelines

Authors interested in presenting their work should electronically submit an abstract before June 15, 2007, to statausers@tstat.it. The author’s name, affiliation, and telephone number should be included in the email. The scientific committee will make a preliminary selection on the basis of submitted abstracts by June 30, 2007. The final version of the paper must be submitted by August 30, 2007.

Registration and accommodations

Accommodation details will be posted later. Please check our site again soon.

The meeting is being organized by TStat S.r.l. (http://www.tstat.it), the certified distributor of Stata in Italy.

Click here for the registration form.

For more details, click here. For information on registration and assistance with accommodations, please contact Lorena Romeo at TStat:

Lorena Romeo
TStat S.r.l.
via Baden Powell, 8
67039 Sulmona AQ

Tel: +39-0864-210101
Fax: +39-0864-206014
Email: lorena@tstat.it



Scientific committee: Logistics coordinator:

Una-Louise Bell
TStat S.r.l.

Rino Bellocco
Karolinska Institutet

Giovanni Capelli
Università degli Studi di Cassino

Marcello Pagano
Harvard School of Public Health

Lorena Romeo
TStat S.r.l.





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