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2° CONVEGNO ITALIANO DEGLI UTENTI DI STATA - Milano, 10-11 ottobre 2005
PROGRAMMA
Lunedì, 10 ottobre 2005
9.00 - 9.20 Registrazione dei partecipanti
9.20 - 9.30 Saluto di benvenuto dal comitato scientifico
9.30 - 10.30 I SESSIONE – INVITED SPEAKER – CHAIR Marcello Pagano
10.30 - 10.45 Pausa caffè
10.45 - 12.45 II SESSIONE - USER WRITTEN COMMANDS AND ROUTINES – CHAIR Una-Louise Bell
12.45 - 14.15 Pranzo
14.15 - 15.15 III SESSIONE - EXPLOITING THE POTENTIAL OF STATA 9 – CHAIR Rino Bellocco
15.15 - 16.15 IV SESSIONE - STATA ED HTML – CHAIR Rino Bellocco
16.15 - 16.30 Pausa caffè
16.30 - 17.30 V SESSIONE - STUDI APPLICATIVI USANDO STATA – CHAIR Giovanni Capelli
17.30 - 17.45 Intervallo
17-45 - 18.30 COMMENTI DI CHIUSURA
- William Gould (StataCorp) e Marcello Pagano (Harvard University)
Martedì, 11 ottobre 2005
9.30-13.00 - CORSO SU MATA
The objection of this course, which will be give by William Gould
(President of StataCorp), is to provide an introduction to Stata's new
matrix programming language, Mata. The emphasis will be on showing how
Mata can be used both by programmers and nonprogrammers. Topics covered
include:
- Mata basics
- Interpretive commands
- Functions
- Use of views onto the Stata dataset
- Using views to solve data-management problems
- The Mata programming language
- The mechanics of Mata programming
- Translation from FORTRAN into Mata
- Use of subscripts
- Numerical accuracy
Please note that the Mata course will be given in English.
9.30 - 18.00 - CORSO SURVIVAL ANALYSIS IN STATA
Survival Analysis is a field replete with jargon -- censoring,
truncation, hazard, etc. The key to understanding survival analysis is
in decoding the jargon and applying basic statistical principles to
data which arise from following subjects until death or failure. The
Stata approach to survival analysis is unique in the sense that the
majority of effort is devoted to "setup-oriented" tasks, i.e. data
manipulation and declaration of the key duration and censoring
variables to Stata via the -stset- command. Once the data have been set
up, analysis using Stata is fairly straightforward, allowing the
researcher to turn their attention to the interpretation and
application of results. Analysis of survival data can take one of three
forms: nonparametric analysis such as logrank tests, semiparametric Cox
regression, and parametric analysis via -streg-. As such, the topics
covered in the course will include
9.30 - 13.00 - Part I: Data Manipulation and Declaration
- The unique aspects of duration data
- Terminology
- Converting other types of data to duration data
- -stset-
14.30 - 18.00 - Part II: Data Analysis
- Nonparameteric analysis
- Cox proportional hazards regression
- Parametric regression
Please note that the Survival analysis course will also be given in English.
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