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Activity Number:
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21
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Type:
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Contributed
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Date/Time:
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Sunday, August 11, 2002 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section*
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| Abstract - #301095 |
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Title:
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The Longitudinal Measurement Error Models with Applications to Cardiovascular Risk Factors
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Author(s):
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Shumei Guo*+ and Wei Wu and Cameron Chumlea
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Affiliation(s):
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Wright State University School of Medicine and Wright State University School of Medicine and Wright State University School of Medicine
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Address:
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3171 Research Blvd., Kettering, Ohio, 45420, USA
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Keywords:
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longitudinal model ; measurement error ; cardiovascular risk factors ; attenuation
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Abstract:
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Random effects models with a time-varying independent variable were used to demonstrate how the error in the independent variable attenuates the longitudinal relationships of the dependent and independent variables. Longitudinal data for low-density lipoprotein cholesterol (LDL) and high-density lipoprotein (HDL) and %BF from 22 to 40 years of age for 86 men and 100 women in the Fels Longitudinal Study were used. LDL and HDL are the dependent variables and %BF is the independent variable. The reliability for %BF is 0.75 for men and 0.79 for women. A unit increase in %BF increases LDL by 1.28 mg/dl in men and 0.77 mg/dl in women. After error adjustment for %BF, the regression estimate increases to 1.71 mg/dl for men and 0.97 mg/dl for women for LDL. A unit increase in %BF, reduces HDL from 0.47 mg/dl to 0.62 mg/dl for men and from 0.30 mg/dl to 0.38 mg/dl for women. The correction for error improves the longitudinal relationships between dependent and independent variables. Supported by HD 27063, NIH.
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