JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 298
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 8:30 AM to 10:30 AM
Sponsor: Biopharmaceutical Section
Abstract - #304026
Title: A Spline-Based Hierarchical Model for Estimating Blood Glucose Profiles from CGM Data
Author(s): Hui Zheng*+ and David A Schoenfeld
Companies: Harvard Medical School and Harvard Medical School
Address: 50 Staniford Street, Boston, MA, 02114, United States
Keywords: Spline ; Bayesian methods ; hierarchical model ; auto-correlations

We use spline functions to model patient blood glucose pattern as smooth varying curves from continuous glucose monitoring (CGM) data. We use Bayesian hierarchical models to describe inter-day variation in the shapes of glucose curves and to estimate a representative pattern for the patient. This model allows for auto-correlation of the glucose curve, and leads to confidence and prediction bands. The model also facilitates assessment of health risks including hyperglycemia an hypoglycemia. These methods can help physicians better understand the patient's glucose pattern and make corresponding treatment decisions.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.