JSM 2005 - Toronto

Abstract #304587

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 509
Type: Topic Contributed
Date/Time: Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #304587
Title: Functional Linear Model with Histogram Covariates
Author(s): Chunlei Ke*+ and Yong Wang
Companies: St. Jude Medical, Inc. and St. Jude Medical, Inc.
Address: 25327 Bowie Court, Stevenson Ranch, CA, 91381, United States
Keywords: Functional linear model ; smoothing spline ; medical device ; histogram data
Abstract:

Some clinical data are recorded in medical devices, such as pacemakers and ICDs, in the form of histograms. For analyses performed with the histogram data as covariates or predictors, it is common to reduce the histogram into a single statistic (e.g. mean and standard deviation). The performance of this method is dependent on whether that statistic is properly chosen, which may not be obvious for some situations. We propose functional linear regression models to directly include the histogram data for modeling based on spline smoothing. These models also provide a natural way to assess whether the commonly used data-reduction approach is sufficient for the data. Inference and computation aspects will be discussed. The proposed methodology will be applied to heart rate histogram data from a heart failure clinical study.

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Revised March 2005