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TZID:America/New_York
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DTSTART:20241103T020000
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DTSTART:20250309T020000
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DESCRIPTION:Note: BIS 526 students are required to attend in person. Other
 s are invited to attend in person but may also attend via zoom. Speaker- 
 Rebecca Betensky\, PhD Title- “Two problems of estimation in the presence
  of semi competing or competing risks” Abstract I will discuss two proble
 ms that involve competing risks. The first problem is that of estimation 
 in the presence of semicompeting risks and left truncation. I will presen
 t three nonparametric maximum likelihood estimators under different model
 s for censoring. The second problem is that of estimation in the presence
  of a competing risk with an intermediate event that terminates the risk 
 of a different competing risk. In the absence of censoring\, this early t
 ermination of risk can be ignored for estimation of the cumulative incide
 nce function (CIF). In the presence of censoring\, I will show that in la
 rge samples\, early termination of risk can be ignored as well for certai
 n CIF estimators. I will discuss the implications of this for regression 
 modeling via the cause specific hazard and via the subdistribution hazard
 . I demonstrate these results in simulations and an analysis of dementia 
 with recovered COVID\, with the competing risk of dementia with Long COVI
 D and intermediate terminating event of onset of Long COVID.\n\nAdmission
 :\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/ysph-biostatisti
 cs-seminar-1/\n
DTEND;TZID=America/New_York:20260113T130000
DTSTAMP:20261027T130209Z
DTSTART;TZID=America/New_York:20260113T120000
GEO:41.302961;-72.931638
LOCATION:106 A&B\, 47 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:YSPH Biostatistics Seminar- “Two problems of estimation in the pre
 sence of semi competing or competing risks”
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