Examining accuracy of screening mammography using an event order model.
Journal Article (Journal Article)
Screening mammography is a widely used method for breast cancer detection. For each mammogram we propose a performance model based on order of outcomes. That is, we envision an initial assessment, a follow up assessment if the initial one is positive and, eventually, a determination of whether cancer was present or not. A model can be built at each stage reflecting effects due to patient characteristics, to the facility where mammogram was performed and to the radiologist reading the mammogram. Since assessment is not perfectly associated with outcome, familiar rates of agreement and disagreement are of interest. These rates can be investigated at various levels of risk factors of interest. The approach is illustrated with screening mammography data from the Group Health Cooperative in Seattle, WA. A Bayesian framework is adopted for inference and an analysis of the data set is presented.
Full Text
Duke Authors
Cited Authors
- Paliwal, P; Gelfand, AE; Abraham, L; Barlow, W; Elmore, JG
Published Date
- January 2006
Published In
Volume / Issue
- 25 / 2
Start / End Page
- 267 - 283
PubMed ID
- 16381074
Pubmed Central ID
- PMC3422573
Electronic International Standard Serial Number (EISSN)
- 1097-0258
International Standard Serial Number (ISSN)
- 0277-6715
Digital Object Identifier (DOI)
- 10.1002/sim.2220
Language
- eng