A method for exploratory repeated-measures analysis applied to a   breast-cancer screening study
  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. 
Adam R. Brentnall, Stephen W. Duffy, Martin J. Crowder, Maureen G. C.   Gillan, Susan M. Astley, Matthew G. Wallis, Jonathan...
stat.AP