TStat S.r.l., certified distributor of Stata in Italy, is pleased to announce the 3rd Italian Stata Users meeting which takes place on the 9th and 10th October at the Hotel Artemide, Via Nazionale 22, Rome. The meeting is open to all Stata users. Further information, together with registration details, can be obtained from Paola di Rienzo, tel. 0864 210101, e-mail: paola@tstat.it

PRELIMINARY PROGRAMME

9th OCTOBER 2006 – PRESENTATIONS

8.45 - 9.15 Registration

9.15 - 9.30 Welcome from the Scientific Committee

9.30 - 10.30 I SESSION – INVITED SPEAKER – CHAIR Marcello Pagano

• Teaching data documentation with Stata- Svend Juul (Institute of Public Health, Aarhus C, Denmark)

10.45 - 12.30 II SESSION - USER WRITTEN COMMANDS AND ROUTINES I – CHAIR Una-Louise Bell

• A comparative analysis of dynamic panel data estimators in the presence of endogenous regressors- Giovanni S.F. Bruno (Università Bocconi)
• A Stata procedure for the de-duplication of individual records: the INPS archive case- Orietta Dessy (Università Bocconi)
• Dynamic Factor Analysis with Stata - Alessandro Federici (Università di Roma "La Sapienza")

12.30 - 14.00 Lunch

14.00 - 15.45 III SESSION - USER WRITTEN COMMANDS AND ROUTINES II – CHAIR Giovanni Capelli

• Estimating and modelling relative survival - Paul Dickman (Karolinska Institutet) e Enzo Coviello (ASL BAT/1 – Andria)
• Semi-nonparametric estimation of univariate and bivariate binary-choice models- Giuseppe de Luca (Università di Roma – “Tor Vergata" - ISFOL)
• Sensitivity analysis of epidemiological results - Nicola Orsini (Karolinska Institutet), Rino Bellocco (Karolinska Institutet, Università di Milano - Bicocca), Sander Greenland (UCLA School of Public Health) e Alicja Wolk (Karolinska Institutet)

15.45 - 16.30 IV SESSION - EXPLOITING THE POTENTIAL OF STATA 9 I – CHAIR Rino Bellocco

• Scheming your way to consistent graphs – Vince Wiggins (StataCorp)

16.30 - 16.45 Coffee Break

16.45 - 17.45 V SESSION - EXPLOITING THE POTENTIAL OF STATA 9 II – CHAIR Rino Bellocco

• Using Stata to support the daily activities of a university curriculum – Giovanni Capelli e Bruno Federico (Università degli Studi di Cassino)
• Elaboration, printing and correction of written tests (open answer or multiple choice) integrating Stata and EPIDATA
• Use of administrative data sets and elaboration on student’s progression data

17.45 - 18.15 VI SESSION - APPLIED RESEARCH USING STATA – CHAIR Giovanni Capelli

• School to Work Transitions for University Graduates in Mauritius: A Duration Model Approach – V.C. Jaunky (University of Mauritius) e A.J. Khadaroo (University of Mauritius)
• The application of interrupted time series to a panel data survey to evaluate the efficiency of medical training - Maria Angela Mazzi, Michela Rimondini e Corista Zimmermann (Università degli Studi di Verona)

18.15 - 18.30 Interval

18-30 - 19.00 CLOSING REMARKS

• Vince Wiggins (StataCorp) e Marcello Pagano (Harvard University)

10th OCTOBER 2006

9.00-13.00 - SURVEY DATA IN STATA COURSE

The Survey data analysis training will be given by Jeff Pitblado of StataCorp. During the training seminar, Jeff will discuss Stata's features for analyzing survey and correlated data and will explain how and when to use the three major variance estimators for survey and correlated data: the linearization estimator, balanced repeated replications, and the clustered jackknife (the last two having been added in Stata 9).

Jeff will also discuss sampling designs and stratification, including Stata's new features for estimation with data from multistage designs and for applying post-stratification. A theme of the seminar will be how you can make inferences with correct coverage from data collected by single stage or multistage surveys or from data with inherent correlation, such as data from longitudinal studies.

Please note that the SURVEY DATA ANALYSIS course will be given in English.

9.00 - 18.00 - CORSO ANALISI DEI DATI PANEL IN STATA (IN ITALIANO)

L'obiettivo di questo corso è di fornire ai partecipanti un'introduzione alla strumentazione teorica e applicata necessarie per poter svolgere autonomamente analisi empiriche con dati panel. Durante il corso verranno trattati i seguenti argomenti:

• Gestione dei dati panel in Stata
• Il modello di regressione ad effetti “fissi”
• Il modello di regressione ad effetti “random”
• Test di correlazione dell'errore, nel tempo e tra individui, nei modelli panel
• Test di eteroschedasticità
• Correzione degli standard errors per la correlazione e l'eteroschedasticità negli errori
• Modelli panel con effetti temporali
• Sbilanciamento nei dati
• Modelli con variabili esplicative endogene: Stimatori panel a variabili strumentali