Survival Analysis By Dr. Ronald Geskus May 24-25, 2007 Amsterdam, The Netherlands http://www.can.nl/events/details.php?id=30 This course is aimed at everyone who wants to analyze data in which the time to the occurrence of some event, and its dependence on covariates, is of interest. Survival analysis consists of a collection of techniques for the analysis of time-to-event data. Part of the relevant time window may be unobserved. In the most frequently encountered situation, there is one event of interest, and the event time is either observed exactly or right censored. Programs for the analysis of right censored data have become readily available. Emphasis of the course is on the practical application of models for survival data. Participants will be made familiar with the possibilities offered through computer exercises. You will learn how to: ? perform survival analyses and present the results graphically ? analyze the influence of covariates on the event time distribution ? model linear- as well as nonlinear effects of covariates ? evaluate model fit via residuals ? analyze interval censored data ? perform competing risks analyses ? analyze correlated event data Experience with survival analysis is not assumed. Knowledge of R or S-PLUS at the level of the introductory course is advised. Location: Amsterdam Date : December 15-16 Time : 10:00h.-16:30h. Price : EURO 790,- excl. VAT, Includes lunch and course materials Register: - phone : +31-(0)20-560-8400 - Email : altman at can.nl - Web : http://www.can.nl/events/details.php?id=30 There is a maximum of 12 participants. You may register by replying to this email and provide us with the following information. Name : M / F Title : Department : Institute : Address : City : Zip : Telephone : Fax : Email : Please let us know if you have any questions. Please feel free to send this message on to your colleagues and friends for whom it might be interesting!! Kind regards, Dick Verkerk CANdiensten _________________________ Dick Verkerk, managing director CANdiensten, Nieuwpoortkade 23-25, NL-1055 RX Amsterdam tel: +31 20 5608410 fax: +31 20 5608448 verkerk at candiensten.nl _________________________ Your Partner in Mathematics and Statistics!