** 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 �. 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. 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. FEE The fee is �700 �. It includes all the teaching material, the two books of the authors, a CD-Rom with the software and the examples used in the course. It also covers the travel from Udine to Ljubljana and a lunch in a typical Slovenian Restaurant. 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 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/ CONTACTS Udine: Miriam Isola Tel: ++39 0432 494261, Fax: ++39 0432 494201,Email: [EMAIL PROTECTED] Ljubljana: Janez Stare, Tel (01) 543 7772, Fax: (01) 5437771 Email: [EMAIL PROTECTED] 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 6767072 University of Trieste Fax: +39 02 700445089 34127 Trieste, Italy Cell: +39 347 3518231 WWW http://dises17.univ.trieste.it/DG Email:[EMAIL PROTECTED] ******************************************************************** . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
