scholarly article | Q13442814 |
P50 | author | James G. Dowty | Q30524408 |
Graham Giles | Q30524411 | ||
Tuong L Nguyen | Q57570061 | ||
Gillian S Dite | Q57572831 | ||
Carmel Apicella | Q84487301 | ||
Joohon Sung | Q89353552 | ||
Adrian Bickerstaffe | Q91232472 | ||
Kelly Aujard | Q114387217 | ||
Mark Jenkins | Q42412309 | ||
Robert J MacInnis | Q44277751 | ||
Jennifer Stone | Q47703171 | ||
Melissa C. Southey | Q55446228 | ||
John Hopper | Q56726496 | ||
P2093 | author name string | Johanna M Rommens | |
Yun-Mi Song | |||
Christopher F Evans | |||
Ye K Aung | |||
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P433 | issue | 2 | |
P304 | page(s) | 652-661 | |
P577 | publication date | 2017-04-01 | |
P1433 | published in | International Journal of Epidemiology | Q6051393 |
P1476 | title | Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk | |
P478 | volume | 46 |
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Q33609333 | Genetics for population and public health |
Q89944208 | Going Beyond Conventional Mammographic Density to Discover Novel Mammogram-Based Predictors of Breast Cancer Risk |
Q90690238 | Interval breast cancer risk associations with breast density, family history and breast tissue aging |
Q64279327 | Joint association of mammographic density adjusted for age and body mass index and polygenic risk score with breast cancer risk |
Q92356630 | Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer risk |
Q60044938 | Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds |
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