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Abstract Details
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Activity Number:
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478
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Type:
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Invited
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Date/Time:
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Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Noether Award Committee
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| Abstract - #306939 |
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Title:
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Regression-Based Principal Component Analysis and Its Application to Screen Individual Pediatric Growth Paths
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Author(s):
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Ying Wei, PhD*+
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Companies:
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Columbia University
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Address:
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Mailman School of Public Health, New York, NY, 10032,
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Keywords:
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Abstract:
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Pediatric growth paths are individual trajectories of body-size measurements, which are often observed at irregular times due to personal needs. It is clinically important to screen growth paths. Rigorous quantitative methods haven't been well developed in the literature. We proposed an iterative regression based principal component analysis, based on which new growth charts for growth paths can be constructed. The proposed method is computationally flexible and the estimated component functions are shown to be uniformly consistent. In addition, the regression framework allows the easy incorporation of covariate information, which could bring new insights to the screening. The proposed methods are investigated by numerical studies and applied to part of Finnish growth data to monitor the pubertal growth.
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Authors who are presenting talks have a * after their name.
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