A logistic regression model based on the national mammography database format to aid breast cancer diagnosis

American Journal of Roentgenology

Volumn 192, Issue 4, 2009, Pages 1117-1127

  Chhatwal, Jagpreet ^a,b,c   Alagoz, Oguzhan ^b   Lindstrom, Mary J ^a   Kahn Jr , Charles E ^d   Shaffer, Katherine A ^d   Burnside, Elizabeth S ^a,b  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b University of Wisconsin Madison   (United States)

^c Health Economic Statistics   (United States)

^d MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

Logistic regression; Mammography; National mammography database; Risk prediction

Indexed keywords

ADULT; AGED; ARTICLE; BREAST CANCER; CANCER DIAGNOSIS; CANCER REGISTRY; CANCER RISK; CLINICAL FEATURE; DATA BASE; DECISION MAKING; DEMOGRAPHY; DIAGNOSTIC VALUE; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MAMMOGRAPHY; NATIONAL HEALTH ORGANIZATION; OUTCOME ASSESSMENT; PRIORITY JOURNAL; RADIOLOGIST; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; BREAST NEOPLASMS; FEMALE; HUMANS; LOGISTIC MODELS; MAMMOGRAPHY; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; REGISTRIES; RETROSPECTIVE STUDIES; RISK ASSESSMENT; ROC CURVE; SENSITIVITY AND SPECIFICITY; UNITED STATES;

EID: 63849134851     PISSN: 0361803X     EISSN: None     Source Type: Journal    
DOI: 10.2214/AJR.07.3345     Document Type: Article

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