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Breast cancer risk prediction: an update to the Rosner–Colditz breast cancer incidence model
Megan S. Rice
, Shelley S. Tworoger
, Susan E. Hankinson
, Rulla M. Tamimi
, A. Heather Eliassen
, Walter C. Willett
,
Graham Colditz
, Bernard Rosner
Department of Surgery
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Division of Public Health Sciences
Institute of Clinical and Translational Sciences (ICTS)
Siteman Cancer Center
DBBS - Biomedical Informatics and Data Science
DBBS - Molecular Genetics and Genomics
DBBS - Cancer Biology
Research output
:
Contribution to journal
›
Article
›
peer-review
17
Scopus citations
Overview
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Keyphrases
Mammographic Density
100%
Breast Cancer Mortality
100%
Breast Cancer Risk Assessment
100%
Incidence Model
100%
Somatotype
85%
Relative Risk
57%
ER +
57%
Risk Factors
42%
Invasive Breast Cancer
42%
Age-adjusted
42%
Vegetable Intake
42%
Model Change
42%
PSR Model
42%
Nurses' Health Study
28%
Breast Cancer Risk
28%
Physical Activity
28%
Risk Classification
28%
NHSII
28%
Breast Cancer
14%
Risk Prediction
14%
Vegetables
14%
Complete Data
14%
Model Discrimination
14%
Aggressive Subtypes
14%
Unit Scale
14%
Medicine and Dentistry
Cancer Incidence
100%
Cancer Risk
100%
Breast Cancer
100%
Somatotype
66%
Nurse
22%
Physical Activity
22%
Diseases
22%