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Activity Number:
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543
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Type:
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Contributed
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Date/Time:
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Thursday, August 10, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #306602 |
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Title:
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Bivariate Growth Charts
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Author(s):
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Ying Wei*+
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Companies:
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Columbia University
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Address:
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722 W. 168th Street, Room 629, New York, NY, 10032,
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Keywords:
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growth charts ; multivariate ; quantile regression
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Abstract:
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Growth charts have been widely used in clinics and medical centers to monitor an individual subject's growth status in context of population values. Current growth charts consider only one measurement at a time. Health evaluation very often evolves multiple measurements, height and weight for example. More informative readings can be obtained by screening multiple measurements simultaneously (jointly). We propose new framework of bivariate growth chart that are mathematically formal but clinically sensible. The charts consist of a nested sequence of bivariate reference quantile contours that are time/age dependent and incorporate with other potential covariate effects. Estimation of such charts based upon quantile regression was also provided. Their performance was demonstrated by a Monte-Carlo simulation study, as well as the applications with real height-weight data set.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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