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DTSTART:20241103T020000
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DESCRIPTION:NOTE: BIS 525 students are required to attend in person (47 Co
 llege St.\, Room 106-A). All others are requested to attend via Zoom. SPE
 AKER : Ruosha Li \, PhD\, Associate Professor\, Department of Biostatisti
 cs and Data Science\, The University of Texas Health Science Center at Ho
 uston TITLE : "Crude and Net Measures of Predictive Performance for Risk 
 Prediction with Competing Risks Data" ABSTRACT : In survival analysis\, t
 he predictive discrimination performance of a risk prediction model refer
 s to the ability of the model to separate subjects who will develop the e
 vent from those who will not. In the presence of competing risks\, there 
 are two possible perspectives in assessing predictive performance\, namel
 y the crude and net perspectives. In this talk\, I will first introduce a
  crude measure\, the polytomous discrimination index (PDI)\, for assessin
 g a competing risks regression model that predicts the cumulative inciden
 ce probabilities. The methods are applied to a study of monoclonal gammop
 athy of undetermined significance\, where the two competing risks events 
 are diagnosis of plasma cell malignancy (PCM) and death without PCM. Next
 \, I will introduce a net predictive performance measure for scenarios wh
 ere the competing risks event is a surgical procedure such as transplanta
 tion. The methods are illustrated using a study of pediatric acute liver 
 failure.\n\nSpeaker:\nRuosha Li\, PhD\n\nAdmission:\nFree\n\nDetails URL:
 \nhttps://medicine.yale.edu/event/ysph-biostatistics-seminar-crude-and-ne
 t-measure-predict-perform-for-risk-predict-compet-risks-data/\n
DTEND;TZID=America/New_York:20210914T130000
DTSTAMP:20260418T180543Z
DTSTART;TZID=America/New_York:20210914T120000
GEO:41.302961;-72.931638
LOCATION:106-A\, 47 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:YSPH Biostatistics Seminar: "Crude and Net Measures of Predictive 
 Performance for Risk Prediction with Competing Risks Data”
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