Abstract #300034

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JSM 2003 Abstract #300034
Activity Number: 133
Type: Contributed
Date/Time: Monday, August 4, 2003 : 12:00 PM to 1:50 PM
Sponsor: Biometrics Section
Abstract - #300034
Title: Comparison of Parametric and Nonparametric Methods for Examining the Reproducibility of Breast Fluid Biomarkers
Author(s): Irene Helenowski*+ and Borko D. Jovanovic and Robert Chatterton and Angela Geiger and Peter Gann
Companies: Northwestern University and Northwestern University Feinberg and Northwestern University and Northwestern University Medical School and Northwestern University
Address: 680 N. Lake Shore Dr., Chicago, IL, 60611-4546,
Keywords: permutation methods ; reproducibility studies ; proportions of variation ; intraclass correlation coefficient
Abstract:

Statistics involving proportions of variation, such as the intraclass correlation coefficient, have become an important facet of biomarker reproducibility studies in cancer research (Gann et al. 1997). Many such statistics, however, depend on the assumption that the data is normally distributed. Therefore, the development of a reproducibility statistic for biomarker studies based on a semiparametric model is paramount. Commenges and Jacqmin (1994) discuss an intraclass correlation coefficient for any distribution belonging to the exponential family. Likewise, a kappa-coefficient has been studied for binary data (Lipsitz et al. 2001, Fleiss 1981). For continuous data, one could examine reproducibility using ranks of the data. In this presentation, we compare results looking at between-breast reproducibility of nipple aspirate fluid by applying a reproducibility statistic to log-transformed data and rank-based data. These results are in turn compared to results using a permutation method adapted from Gann, et al. 1997, involving the Spearman correlation.


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