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UID:20260828T100759EDT-0670F9ouw5@132.216.98.100
DTSTAMP:20260828T140759Z
DESCRIPTION:Efficient tests of covariate effects in two-phase failure time 
 studies.\n\nTwo-phase studies are frequently used when observations on cer
 tain variables are expensive or difficult to obtain. One such situation is
  when a cohort exists for which certain variables have been measured (phas
 e 1 data)\; then\, a sub-sample of individuals is selected\, and additiona
 l data are collected on them (phase 2). Efficiency for tests and estimator
 s can be increased by basing the selection of phase 2 individuals on data 
 collected at phase 1. For example\, in large cohorts\, expensive genomic m
 easurements are often collected at phase 2\, with oversampling of persons 
 with “extreme” phenotypic responses. A second example is case-cohort or ne
 sted case-control studies involving times to rare events\, where phase 2 o
 versamples persons who have experienced the event by a certain time. In th
 is talk I will describe two-phase studies on failure times\, present effic
 ient methods for testing covariate effects. Some extensions to more comple
 x outcomes and areas needing further development will be discussed\n
DTSTART:20161028T193000Z
DTEND:20161028T203000Z
LOCATION:Room 1205\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Jerry Lawless University of Waterloo
URL:https://www.mcgill.ca/mathstat/channels/event/jerry-lawless-university-
 waterloo-263695
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