[Forum SIS] CORSO: Survival and Event History Analysis (5th edition of Statisticalps, 16-20 March 2014)

[Stefania Galimberti]

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            STATISTICALPS: Winter course on medical statistics in the Alps
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SURVIVAL AND EVENT HISTORY ANALYSIS

16-20 March 2014 - Residential Course
Ponte di Legno, Brescia, Italy

FACULTY:
Prof. Odd O. Aalen, Department of Biostatistics, University of Oslo, Norway 
Prof. Ørnulf Borgan, Department of Mathematics, University of Oslo, Norway 
Prof. Håkon K. Gjessing, Norwegian Institute of Public Health, Oslo, Norway


COORDINATORS:
Maria Grazia Valsecchi
Stefania Galimberti
Center of Biostatistics for Clinical Epidemiology, Department of Health Sciences, University of Milano-Bicocca


ABSTRACT:
The course gives a broad introduction to concepts and methods in survival and event history analysis. Topics covered include: counting process models for survival and event history data; basic results for martingales and stochastic integrals; the Nelson-Aalen and Kaplan-Meier estimators; the log-rank test and other non-parametric tests; multi-state models; Cox's proportional hazard regression; additive hazards regression; parametric survival models including Poisson regression; the frailty concept; frailty models, marginal models, and dynamic models for multivariate survival data; dynamic path analysis and comments on causality; first passage time models and threshold regression; statistical computing using R. The methods covered in the course have applications in epidemiology, clinical medicine, demography, economics, insurance, sociology, and technical reliability. 
The goals for the course are: 
• To understand the counting process formulation underlying modern survival and event history analysis, and be able to use it to derive heuristically the statistical properties of the most used estimators and test statistics. 
• To understand the assumptions underlying the commonly used methods in survival and event history analysis, and be able to choose a suitable model formulation in a practical setting. 
• To be able to use statistical software to analyse survival and event history data and to interpret the result of an analysis. 

The course is based on the book Event History Analysis: A Process Point of View by Aalen, Borgan & Gjessing (Springer-Verlag, New York, 2008)


*** DEADLINE FOR REGISTRATION IS JANUARY 20, 2014 ***


Details of the 2014 edition are on: http://www.statmed.medicina.unimib.it/statisticalps2014/statisticalps.htm