Analysis of Multiple Failure Time Data Arising from Clinical Trials
@ The University of Reading, UK
26-27 October 2005
Presenters:
Dr Patrick Kelly and Professor Anne Whitehead
Description:
Statistical methods have recently been developed for the analysis of multiple failure time data. Such data can arise in a variety of ways. Sometimes analyses based on two endpoints, such as time to disease progression and time to death, are to be combined. Recurrent event data are observations of times at which patients suffer repeated events such as epileptic seizures, asthma attacks or coronary events. Competing risks data arise when considering various potential causes of death or forms of incapacity that can follow from a certain condition. Clustered survival data, which arise, for example, from multicentre trials, can also be considered as a form of multiple failure time data.
Examples of such data will be examined, and the objectives of their analysis discussed. Methods, such as frailty models, and the robust approach due to Wei, Lin and Weissfeld will be introduced and illustrated. The software available for implementing these methods will be described and participants will take part in hands-on computer practicals.
Although the course will begin with a brief review, it will be assumed that participants are familiar with simple univariate survival techniques.
Programme:
* Examples of multiple failure time problems
* Review of survival methods
* Combining survival endpoints
* Frailty models for correlated survival data
* Models for recurrent event data
* Competing risks models
Course fees:
For 6 or more weeks prior to commencement of the course:
Students £360
Sponsors/Public £450
sector/Academic
Other £510
Less than 6 weeks prior to course: £600
The course fee includes all supporting documentation, refreshments and lunches. For a course running more than one day, dinner is included on the first evening.
Cancellation:
Registrations are transferable to another course or individual at any time, otherwise cancelled course registration will incur the following charges:
11 - 20 days before the start of the course 50%
1 - 10 days before the start of the course 90%
course start date or later 100%.
We reserve the right to cancel any course without liability other than a refund of the course fee.
Booking form:
http://www.rdg.ac.uk/mps/mps_home/courses/scheduled_c.htm
For further information please contact:
Barbara Dodds
MPS Research Unit
The University of Reading
PO Box 240, Earley Gate
Reading, RG6 6FN
Tel: 0118 378 6662
e-mail: [log in to unmask]
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