A method for exploratory repeated-measures analysis applied to a breast-cancer screening study
Adam R. Brentnall, Stephen W. Duffy, Martin J. Crowder, Maureen G. C. Gillan, Susan M. Astley, Matthew G. Wallis, Jonathan James, Caroline R. M. Boggis, Fiona J. Gilbert
The Annals of Applied Statistics · 2011 · Volume 5 · Issue 4
Abstract
When a model may be fitted separately to each individual statistical unit, inspection of the point estimates may help the statistician to understand between-individual variability and to identify possible relationships. However, some information will be lost in such an approach because estimation uncertainty is disregarded. We present a comparative method for exploratory repeated-measures analysis to complement the point estimates that was motivated by and is demonstrated by analysis of data from the CADET II breast-cancer screening study. The approach helped to flag up some unusual reader behavior, to assess differences in performance, and to identify potential random-effects models for further analysis.
Keywords
classification, computer-aided detection (CAD), likelihood, mammogram, random effects
Enable JavaScript for citation tools and additional paper interactions.