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December 2011 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
Ann. Appl. Stat. 5(4): 2448-2469 (December 2011). DOI: 10.1214/11-AOAS481


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.


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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. "A method for exploratory repeated-measures analysis applied to a breast-cancer screening study." Ann. Appl. Stat. 5 (4) 2448 - 2469, December 2011.


Published: December 2011
First available in Project Euclid: 20 December 2011

zbMATH: 1234.62015
MathSciNet: MR2907122
Digital Object Identifier: 10.1214/11-AOAS481

Keywords: ‎classification‎ , computer-aided detection (CAD) , likelihood , mammogram , random effects

Rights: Copyright © 2011 Institute of Mathematical Statistics


Vol.5 • No. 4 • December 2011
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