TL30: Interval Censoring in Time to Event data
*Mihaela Obreja, Onyx Pharmaceuticals Keywords: survival function, interval censoring, PFS analysis, time to event Time to event data is critically depending on the time when a certain event of interest happens. In most cases, that time is not exactly known, but only that the event happened within an interval between visits of observation. The estimation of the survival function for this type of data is not trivial and its software implementation is still under development. In this discussion, I plan to summarize some of existing methods (e.g. emicm macro, proc phreg in SAS, glrt package in R) and how to implement them on an example of simulated data with PFS being the event of interest.
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Key Dates
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November 1 - December 17, 2013
Online proposal submission for a session, short course and Town Hall Open -
January 6 - March 11, 2014
Online proposal submission for Roundtables Open -
April 30 - May 28, 2014
Abstract Submission Open -
June 4, 2014
Online Registration Opens -
August 8 - August 22, 2014
Invited Abstract Editing -
August 11, 2014
Short Course materials due from Instructors -
September 1, 2014
Housing Deadline -
September 15, 2014
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 22 - September 24, 2014
Marriott Wardman Park, Washington, DC