Publicaciones en colaboración con investigadores/as de University of Melbourne (29)

2023

  1. Lung cancer risk discrimination of prediagnostic proteomics measurements compared with existing prediction tools

    Journal of the National Cancer Institute, Vol. 115, Núm. 9, pp. 1050-1059

2021

  1. Adiposity and endometrial cancer risk in postmenopausal women: A sequential causal mediation analysis

    Cancer Epidemiology Biomarkers and Prevention, Vol. 30, Núm. 1, pp. 104-113

2015

  1. Alcohol intake and breast cancer in the European prospective investigation into cancer and nutrition

    International Journal of Cancer, Vol. 137, Núm. 8, pp. 1921-1930

  2. Baseline and lifetime alcohol consumption and risk of differentiated thyroid carcinoma in the EPIC study

    British Journal of Cancer, Vol. 113, Núm. 5, pp. 840-847

  3. Circulating prolactin and in situ breast cancer risk in the European EPIC cohort: A case-control study

    Breast Cancer Research, Vol. 17, Núm. 1

  4. Dietary intake of acrylamide and epithelial ovarian cancer risk in the european prospective investigation into cancer and nutrition (EPIC) cohort

    Cancer Epidemiology Biomarkers and Prevention, Vol. 24, Núm. 1, pp. 291-297

  5. Endogenous androgens and risk of epithelial invasive ovarian cancer by tumor characteristics in the European Prospective Investigation into Cancer and Nutrition

    International Journal of Cancer, Vol. 136, Núm. 2, pp. 399-410

  6. Healthy lifestyle and risk of breast cancer among postmenopausal women in the European Prospective Investigation into Cancer and Nutrition cohort study

    International Journal of Cancer, Vol. 136, Núm. 11, pp. 2640-2648

  7. Inflammatory markers and risk of epithelial ovarian cancer by tumor subtypes: The EPIC cohort

    Cancer Epidemiology Biomarkers and Prevention, Vol. 24, Núm. 6, pp. 951-961

  8. Insulin-like growth factor I and risk of epithelial invasive ovarian cancer by tumour characteristics: Results from the EPIC cohort

    British Journal of Cancer, Vol. 112, Núm. 1, pp. 162-166

  9. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    American Journal of Human Genetics, Vol. 97, Núm. 4, pp. 576-592