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AVVISO: Corso su REGRESSION MODELS AND FRAILTY IN SURVIVAL ANALYSIS
** REGRESSION MODELS AND FRAILTY IN SURVIVAL ANALYSIS **
** SHORT COURSE
** Udine-Ljubljana 27-31 May 2002
Cox model is now considered a Gold Standard in the analysis of survival
data in several fields of application, like clinical and epidemiological
research, but also in social, engineering and economic sciences. Cox
model is now also being central in the treatment of more complex
situations than the usual time-to-event setting. Cases like multiple
events for each subject or competing events, transition between states
(disease-illness-death) are just a few of the challenges that can now be
faced by the Extended Cox model.
The course has been planned to allow the practitioner to start from the
understanding of the basics of Cox model to end up to modeling and solve
complex (although crucial) problems in the real life using frailties.
Theory and methods will be clearly illustrated with both examples and
practical exercises on the PC.
Faculty
Prof. Philip Hougaard
Philip Hougaard is a statistician at the pharmaceutical company Novo
Nordisk, where he has been for 17 years. He has a PhD in nonlinear
regression and is Doctor of Science based on a thesis on frailty models.
He is associate editor of 3 statistical journals and has published one
book and more than 90 papers.
Prof. Maria Grazia Valsecchi
MGV is professor of Medical Statistics at the University of
Milano-Bicocca School of Medicine. She did Mathematics at the University
of Milano and took the MsC in Biostatistics at the University of
Washington, Seattle (USA). Her main research area concerns clinical
trials and evaluation of follow-up data in observational studies. She
has published two books on survival methods and 60 papers.
Dr Stefania Galimberti
She graduated in Statistics at the University of Padova and took a PhD
in Statistics at the University of Bologna. She is currently Researcher
at the University of Milano-Bicocca
LOCATION
The course will be divided in two parts, the first in Udine (Italy) on
"Introduction to regression models in survival analysis" (May, 27-28)
and the second in Ljubljana (Slovenia) on "Frailty models for
multivariate survival data " (May, 30-31). The day in between will be
devoted to a short travel in the surrounds and to move from Udine to
Ljubljana.
TOPICS COVERED BY THE COURSE
** Introduction to regression models in survival analysis **
-Distribution functions for failure time data
-The Cox regression model
-Extensions of the Cox model (stratification and time dependent
variables)
-Classes of parametric regression models (proportional hazards,
proportional odds, accelerated failure time models)
-Model selection and the study of heterogeneity
**Frailty models for multivariate survival data**
-Frailty models for univariate data (heterogeneity)
-Introduction to multivariate survival data (data types, dependence
types and dependence measures)
-Frailty models for multivariate data
-Multi-state models (brief, in order to contrast and complement frailty
models)
-Frailty models for recurrent events data
-More complex frailty models (brief)
FEE
The fee is 700 ˆ. It includes general teaching materials, the two books
of the authors, a CD-Rom with the software and the examples used in the
course. It also covers, on the 29th of may, the travel from Udine to
Ljubljana and a lunch in a typical Slovenian Restaurant. The fee does
not include Hotel accommodation and food.
The two books included in the course package are:
Analyzing Survival Data from Clinical Trials and Observational Studies,
E. Marubini, M.G. Valsecchi, J. Wiley & Sons, 1995
Analysis of multivariate survival data, Philip Hougaard. Springer, 2000
TEACHING METHODS AND COURSE MATERIALS
The course will include lectures, and practical sessions and tutored
exercises at PC. Software used will be the R package.
DEADLINE
Registration fee has to be paid before April, 26th 2002.
A maximum of 30 people has been set for the course. People will be
selected to participate on a first come – first accepted basis,
depending on the time of arrival of the registration form to the
Organizing Committee. The registration can be found at the Course
Website.
WEBSITE
Further information, registration form and news can be found at the
course's official address http://dises17.univ.trieste.it/msdc/
ORGANIZERS
Franca Soldano, University of Udine
Janez Stare, University of Ljubljana
Corrado Lagazio, University of Udine
Miriam Isola, University of Udine
Dario Gregori, University of Trieste
The course has the official endorsement of the
Italian Society for Medical Statistical and Clinical Epidemiology
(SISMEC), Statistical Society of Slovenia, Italian Region of the
International Biometric Society (IBS)
*************************************
Dr Dario Gregori, MA, PhD
Department of Economics and Statistics Phone: +39 040 5587072
University of Trieste Fax: +39 02 700445089
34127 Trieste, Italy Cell: +39 347 3518231
WWW http://dises17.univ.trieste.it/DG Email:gredar@univ.trieste.it
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