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VERSION:2.0
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UID:db0612e4-5cc0-43e1-881a-8ca2d469e598@eventxplore
DTSTAMP:20260928T214423Z
DTSTART:20261002T180000Z
DTEND:20261002T190000Z
SUMMARY:Statistics Seminar Series: External Risk Prediction Informed Bayesian Survival Analysis
DESCRIPTION:External Risk Prediction Informed Bayesian Survival Analysis Join the Department of Statistics for a seminar featuring Mi-Ok KIm\, professor of biostatistics at University of California\, San Francisco (UCSF). Abstract: Prognostic factor evaluation and prediction model development are central to precision oncology\, enabling patient risk stratification and individualized treatment selection. Unified predictions that synthesize information from existing models are valuable for comprehensive and consistent risk assessment. Many studies also seek to evaluate the incremental value of new biomarkers b
LOCATION:Duques Hall
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