A METHOD FOR EXPLORATORY REPEATED-MEASURES ANALYSIS APPLIED TO A BREAST-CANCER SCREENING STUDY

• 成果类型: Article
• 署名作者: Brentnall, Adam R.; Duffy, Stephen W.; Crowder, Martin J.; Gillan, Maureen G. C.; Astley, Susan M.; Wallis, Matthew G.; James, Jonathan; Boggis, Caroline R. M.; Gilbert, Fiona J.
• 署名单位: University of London; Queen Mary University London; Imperial College London; University of Aberdeen; University of Manchester; Cambridge University Hospitals NHS Foundation Trust; Addenbrooke's Hospital; University of Cambridge; Nottingham University Hospital NHS Trust; Nottingham City Hospital; Wythenshawe Hospital NHS Foundation Trust; Wythenshawe Hospital
• 刊物名称: ANNALS OF APPLIED STATISTICS
• ISSN/ISSBN: 1932-6157
• DOI: 10.1214/11-AOAS481
• 发表日期: 2011
• 页码: 2448-2469
• 关键词: computer-aided detection; mammography; inference; MODEL

摘要

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.