Survival Analysis
By Dr. Ronald Geskus
December 15-16, 2005
Amsterdam, The Netherlands
http://www.can.nl/english/cursussen/cd.asp?id=78
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 S-PLUS
(or R) at the level of the introductory course is advised.
Location: Amsterdam
Date : December 15-16
Time : 10:00h.-16:30h.
Price : EURO 799,- excl. VAT, Includes lunch and course materials
Register:
* Call Henk de Vries at: +31-(0)20-560-8450
* Email: devries@can.nl
* Web: http://www.can.nl/english/cursussen/inschrijving.asp?id=345
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 :
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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@candiensten.nl
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