Statistics and Data Science Seminar
Dr. Billy Franks
Astellas Pharma US
Investigating the Categories for Cholesterol and Blood Pressure for Risk Assessment of Death due to Coronary Heart Disease
Abstract: Many characteristics for predicting death due to coronary heart disease are
measured on a continuous scale. These characteristics, however, are often
categorized for clinical use. We suggest a systematic approach to determine the
best categorizations of systolic blood pressure and cholesterol level for use in
identifying individuals who are at high risk for death due to coronary heart
disease. We also compare these data derived categories to those in common usage.
A version of Classification And Regression Trees (CART) that can be applied to
censored survival data will be used to identify categories in multiple data
sets. The collection of categories will then be used to identify major
cut-points, which are common in all of the data sets by using kernel density
estimation.
There will be a Tea arround 3:15pm.
Wednesday April 5, 2006 at 3:30 PM in SEO 512