• Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts 

      Li, Kuanrong; Anderson, Garnet; Viallon, Vivian; Arveux, Patrick; Kvaskoff, Marina; Fournier, Agnès; Krogh, Vittorio; Tumino, Rosario; Sánchez, María-José; Ardanaz, Eva; Chirlaque, Maria-Dolores; Agudo, Antonio; Muller, David C.; Smith, Todd; Tzoulaki, Ioanna; Key, Timothy J.; Bueno-de-Mesquita, Hendrik Bastiaan; Trichopoulou, Antonia; Bamia, Christina; Orfanos, Philippos; Kaaks, Rudolf; Hüsing, Anika; Fortner, Renée T.; Zeleniuch-Jacquotte, Anne; Sund, Malin; Dahm, Christina C; Overvad, Kim; Aune, Dagfinn; Weiderpass, Elisabete; Romieu, Isabelle; Riboli, Elio; Gunter, Marc J.; Dossus, Laure; Prentice, Ross; Ferrari, Pietro (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-12-03)
      <p><i>Background</i>: 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 heterogeneity could improve prediction.</p> <p><i>Methods</i>: We built two models, for ER+ (Model<sub>ER+</sub>) and ER- tumors ...
    • A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) 

      Assi, Nada; Moskal, Aurelie; Slimani, Nadia; Viallon, Vivian; Chajes, Veronique; Freisling, Heinz; Monni, Stefano; Knueppel, Sven; Förster, Jana; Weiderpass, Elisabete; Lujan-Barroso, Leila; Amiano, Pilar; Ardanaz, Eva; Molina-Montes, Esther; Salmeron, Diego; Quiros, Jose Ramon; Olsen, Anja; Tjonneland, Anne; Dahm, Christina C; Overvad, Kim; Dossus, Laure; Fournier, Agnes; Baglietto, Laura; Fortner, Renee Turzanski; Kaaks, Rudolf; Trichopoulou, Antonia; Bamia, Christina; Orfanos, Philippos; de Magistris, Maria Santucci; Masala, Giovanna; Agnoli, Claudia; Ricceri, Fulvio; Tumino, Rosario; Bueno De Mesquita, H Bas; Bakker, Marije F; Peeters, Petra HM; Skeie, Guri; Braaten, Tonje; Winkvist, Anna; Johansson, Ingegerd; Khaw, Kay-Tee; Wareham, Nicholas J; Key, Tim; Travis, Ruth; Schmidt, Julie A; Merritt, Melissa A; Riboli, Elio; Romieu, Isabelle; Ferrari, Pietro (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-02-23)
      Objective: Pattern analysis has emerged as a tool to depict the role of multiple nutrients/foods in relation to health outcomes. The present study aimed at extracting nutrient patterns with respect to breast cancer (BC) aetiology.<br> Design: Nutrient patterns were derived with treelet transform (TT) and related to BC risk. TT was applied to twenty-three log-transformed nutrient densities ...
    • Use of two-part regression calibration model to correct for measurement error in episodically consumed foods in a single-replicate study design: EPIC case study 

      Agogo, George O.; van der Voet, Hilko; van't Veer, Pieter; Ferrari, Pietro; Leenders, Max; Muller, David C.; Sánchez-Cantalejo, Emilio; Bamia, Christina; Braaten, Tonje; Knüppel, Sven; Johansson, Ingegerd; Van Eeuwijk, Fred A.; Boshuizen, Hendriek (Journal article; Tidsskriftartikkel; Peer reviewed, 2014-11-17)
      In epidemiologic studies, measurement error in dietary variables often attenuates association between dietary intake and disease occurrence. To adjust for the attenuation caused by error in dietary intake, regression calibration is commonly used. To apply regression calibration, unbiased reference measurements are required. Short-term reference measurements for foods that are not consumed daily ...