Abstract #301900

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JSM 2003 Abstract #301900
Activity Number: 357
Type: Topic Contributed
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #301900
Title: Nonparametric Regression and Related Techniques for Estimating the Functional Width of a Biomaterials Interface
Author(s): Stuart A. Gansky*+ and Robert S. Wilson and Sally Marshall and Grayson Marshall
Companies: University of California, San Francisco and University of California and University of California and University of California
Address: 3333 California Street, Division of Oral Epidemiology, San Francisco, CA, 94143-1361,
Keywords: spline ; loess ; basis function ; MARS ; changepoint ; dental
Abstract:

A recent study of mechanical properties of the dentinoenamel junction (DEJ) of the human tooth (Marshall et al. 2001) sought to estimate the width of the interface of two dissimilar materials based on atomic force microscope-derived nanohardness and elastic modulus measurements. Here we study the statistical techniques used for that estimation, including restricted cubic splines, local polynomial regression (loess), adaptive linear basis functions and nonlinear changepoint models. Piecewise linear models are used to simulate data with three segments: a plain, rising slope, and plateau with a known horizontal distance (width) between the plain and plateau and varying amounts of error. Five hundred replicates per combination of simulation conditions are used. Techniques to estimate this width are compared to assess bias and efficiency. Support: NIH/NIDCR R01DE13029, P60 DE13058; UCSF Shared Equipment Grant.

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