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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 154
Type: Contributed
Date/Time: Monday, July 30, 2007 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #309478
Title: Semiparametric Smoothing for Scintigraphy Data from a Three-Period Crossover Design
Author(s): Jo Edmonds*+ and John W. Seaman, Jr.
Companies: Baylor University and Baylor University
Address: 9821 Chapel Road, Woodway, TX, 76712,
Keywords: semiparametric regression ; penalized spline models ; smoothing
Abstract:

We consider semiparametric regression as a smoothing technique in studying the relationship between gastric emptying and time. Our analysis utilizes scintigraphy data from a three-period crossover design, with subjects randomized to one of three sequences of dose administration. The relationship is modeled with a semiparametric smooth function, specifically a penalized spline model, implemented as a linear mixed model. Estimates of the smooth functions are obtained through the use of SAS PROC MIXED. Separate models are obtained for each of three dose levels for two types of meals.

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Revised September, 2007