JSM 2004 - Toronto

Abstract #300478

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Activity Number: 233
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 12:00 PM to 1:50 PM
Sponsor: Section on Government Statistics
Abstract - #300478
Title: Intraindividual Variation in Serum Constituents: A Comparison of Statistical Methods
Author(s): Cathleen Gillespie*+ and Ralph Donehoo
Companies: Centers for Disease Control and Prevention and Centers for Disease Control and Prevention
Address: Division of Nutrition and Physical Activity, Atlanta, GA, 30341-3724,
Keywords: Bayesian estimation ; repeated measures ANOVA ; linear models ; coefficient of variation ; intraindividual variation ; serum
Abstract:

The coefficient of variation (CV) is the accepted method of quantifying and reporting the laboratory imprecision of serum measurements. Statistical methodology of assessing intraindividual variance in serum constituents varies widely. We examined three methods of assessing intraindividual variance: repeated measures ANOVA, Bayesian estimation, and the observed CV with a linear model to adjust for the regression to the mean effect. We examined these methods in three serum constituents: total cholesterol, retinol, and iron. We compared the variance estimates to those observed among participants in NHANES III with two blood draws, and assessed the effect of the variance estimates on the population distribution and confidence intervals. Bayesian estimation and the linear model allowed for the regression to the mean effect and produced reasonable variance estimates for all three constituents examined. The ANOVA method yielded implausible variance estimates for the constituents. Given the flexibility of Bayesian analysis afforded by the choice of prior distributions, this method could be readily adapted to fit the distribution of a wide variety of serum constituents.

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