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Prevalent Cohort Studies: Length-Biased Sampling with Right Censoring; By Masoud Asgharian, Professor, Dept. of Mathematics and Statistics, McGill University

CBC C217 4505 S Maryland Pkwy, Las Vegas

Abstract: Logistic or other constraints may preclude the possibility of conducting incident cohort studies. A feasiblealternative in such cases is to conduct a cross-sectional prevalent cohort study for which we recruit prevalent cases, that is, subjects who have already experienced the initiating event, say the onset of a disease. When the interest lies in estimating […]

Prediction Accuracy Measures for a Nonlinear Model and for Right-Censored Time-to-Event Data, By Gang Li, Professor of Biostatistics, Department of Biostatistics, UCLA School of Public Health

CBC C217 4505 S Maryland Pkwy, Las Vegas

Abstract: In this talk I will discuss a pair of new prediction summary measures for a nonlinear prediction function with right-censored time-to-event data.  The first measure, defined as the proportion of explained variance by a linearly corrected prediction function, quantifies the potential predictive power of the nonlinear prediction function. The second measure, defined as the […]