JSM 2004 - Toronto

Abstract #300301

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Activity Number: 385
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #300301
Title: Comparison of Statistics Involving Fixed and Random Effects to Discern Inherent Discrepancies in Biomarker Reproducibility
Author(s): Irene B. Helenowski*+ and Borko D. Jovanovic and Vijayalakshmi Ananthanarayanan and Peter H. Gann
Companies: Northwestern University and Northwestern University Medical School and Northwestern University and Northwestern University
Address: 680 N. Lake Shore Dr., Chicago, IL, 60611,
Keywords: variance components ; intraclass correlation coefficient ; reproducibility ; random effects ; fixed effects ; biomarkers
Abstract:

Traditionally, reproducibility statistics, such as the intraclass correlation coefficient (ICC), have involved ratios of variance components. In some circumstances, however, one or more of the factors considered in the ICC are defined as a fixed effect rather than a random effect. Inherent differences that we would wish for a reproducibility statistic to detect can be more effectively discerned in fixed effects from the parameters of the fixed effects themselves than from the variance components of fixed effects. Inherent differences in random effects can be discerned from their variance components efficiently, on the other hand. We consider reproducibility statistics involving the estimated parameters of fixed effects and variance components of random effects. Analyses for this presentation will be applied to p27 indexes coming from the prostate gland.

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