TY  - JOUR
AU  - Li, Kuanrong
AU  - Anderson, Garnet
AU  - Viallon, Vivian
AU  - Arveux, Patrick
AU  - Kvaskoff, Marina
AU  - Fournier, Agnès
AU  - Krogh, Vittorio
AU  - Tumino, Rosario
AU  - Sanchez-Perez, Maria-Jose
AU  - Ardanaz, Eva
AU  - Chirlaque, María-Dolores
AU  - Agudo, Antonio
AU  - Muller, David C
AU  - Smith, Todd
AU  - Tzoulaki, Ioanna
AU  - Key, Timothy J
AU  - Bueno-de-Mesquita, Bas
AU  - Trichopoulou, Antonia
AU  - Bamia, Christina
AU  - Orfanos, Philippos
AU  - Kaaks, Rudolf
AU  - Hüsing, Anika
AU  - Fortner, Renée T
AU  - Zeleniuch-Jacquotte, Anne
AU  - Sund, Malin
AU  - Dahm, Christina C
AU  - Overvad, Kim
AU  - Aune, Dagfinn
AU  - Weiderpass, Elisabete
AU  - Romieu, Isabelle
AU  - Riboli, Elio
AU  - Gunter, Marc J
AU  - Dossus, Laure
AU  - Prentice, Ross
AU  - Ferrari, Pietro
PY  - 2018
DO  - 10.1186/s13058-018-1073-0
UR  - http://hdl.handle.net/10668/13275
T2  - Breast cancer research : BCR
AB  - Few published breast cancer (BC) risk prediction models consider the heterogeneity of predictor variables between estrogen-receptor positive (ER+) and negative (ER-) tumors. Using data from two large cohorts, we examined whether modeling this...
LA  - en
KW  - Breast cancer
KW  - EPIC
KW  - Estrogen receptor
KW  - Prospective cohort
KW  - Risk prediction
KW  - WHI
KW  - Antineoplastic Agents
KW  - Breast Neoplasms
KW  - Female
KW  - Follow-Up Studies
KW  - Humans
KW  - Incidence
KW  - Middle Aged
KW  - Models, Biological
KW  - Prognosis
KW  - Prospective Studies
KW  - Receptors, Estrogen
KW  - Risk Assessment
KW  - Risk Factors
TI  - Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts.
TY  - research article
VL  - 20
ER  -