A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study
- DOI
- 10.1017/s0007114520001439
- Published
- 2020-04-23
- Container
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1017/s0007114520001439,
title = {A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study},
author = {Evan Y. W. Yu and Anke Wesselius and Christoph Sinhart and Alicja Wolk and Mariana Carla Stern and Xuejuan Jiang and Li Tang and James Marshall and Eliane Kellen and Piet van den Brandt and Chih-Ming Lu and Hermann Pohlabeln and Gunnar Steineck and Mohamed Farouk Allam and Margaret R. Karagas and Carlo La Vecchia and Stefano Porru and Angela Carta and Klaus Golka and Kenneth C. Johnson and Simone Benhamou and Zuo-Feng Zhang and Cristina Bosetti and Jack A. Taylor and Elisabete Weiderpass and Eric J. Grant and Emily White and Jerry Polesel and Maurice P. A. Zeegers},
year = {2020},
journal = {British Journal of Nutrition},
doi = {10.1017/s0007114520001439},
url = {https://doi.org/10.1017/s0007114520001439}
}RIS
TY - JOUR TI - A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study AU - Evan Y. W. Yu AU - Anke Wesselius AU - Christoph Sinhart AU - Alicja Wolk AU - Mariana Carla Stern AU - Xuejuan Jiang AU - Li Tang AU - James Marshall AU - Eliane Kellen AU - Piet van den Brandt AU - Chih-Ming Lu AU - Hermann Pohlabeln AU - Gunnar Steineck AU - Mohamed Farouk Allam AU - Margaret R. Karagas AU - Carlo La Vecchia AU - Stefano Porru AU - Angela Carta AU - Klaus Golka AU - Kenneth C. Johnson AU - Simone Benhamou AU - Zuo-Feng Zhang AU - Cristina Bosetti AU - Jack A. Taylor AU - Elisabete Weiderpass AU - Eric J. Grant AU - Emily White AU - Jerry Polesel AU - Maurice P. A. Zeegers PY - 2020 JO - British Journal of Nutrition DO - 10.1017/s0007114520001439 UR - https://doi.org/10.1017/s0007114520001439 ER -
APA
Yu, E. Y. W., Wesselius, A., Sinhart, C., Wolk, A., Stern, M. C., Jiang, X., Tang, L., Marshall, J., Kellen, E., Brandt, P. V. D., Lu, C., Pohlabeln, H., Steineck, G., Allam, M. F., Karagas, M. R., Vecchia, C. L., Porru, S., Carta, A., Golka, K., Johnson, K. C., Benhamou, S., Zhang, Z., Bosetti, C., Taylor, J. A., Weiderpass, E., Grant, E. J., White, E., Polesel, J., & Zeegers, M. P. A. (2020). A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study. British Journal of Nutrition. https://doi.org/10.1017/s0007114520001439
Source records
- crossref · retrieved 2026-09-27T10:13:08.182Z