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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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DTSTART:20251102T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260408T012839
UID:213163@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20251114T120000
DTEND;TZID=America/Chicago:20251114T130000
DESCRIPTION:Prediction Performance Measures for Time-to-Event Data. Dr. Li 
 will discuss how conventional performance metrics for time-to-event data m
 ay yield undesirable results when comparing prediction models or algorithm
 s. He will introduce a novel time-dependent pseudo R-squared measure and d
 emonstrate its utility as a prediction performance metric for uncensored a
 nd right-censored time-to-event data. Finally\, Dr. Li will discuss the ri
 sks of extending this model to competing risk scenarios and popular epidem
 iologic designs.\n\nCONTACT: junjie.hu@wisc.edu\n\nURL: https://biostat.wi
 sc.edu/seminars\n\nONLINE: https://uwmadison.zoom.us/j/99879638765?pwd=wbt
 qxoucEFIlPVCVc9SFbvKB1Av7Xk.1
LOCATION:7560 Morgridge Hall  (Also offered online)
SUMMARY:Biostatistics and Medical Informatics Department Seminar with Gang 
 Li of the University of California Los Angeles
URL;VALUE=URI:https://biostat.wisc.edu/seminars
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