A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study

Evan Y. W. Yu, Anke Wesselius, Christoph Sinhart, Alicja Wolk, Mariana Carla Stern, Xuejuan Jiang, Li Tang, James Marshall, Eliane Kellen, Piet van den Brandt, Chih-Ming Lu, Hermann Pohlabeln, Gunnar Steineck, Mohamed Farouk Allam, Margaret R. Karagas, Carlo La Vecchia, Stefano Porru, Angela Carta, Klaus Golka, Kenneth C. Johnson, Simone Benhamou, Zuo-Feng Zhang, Cristina Bosetti, Jack A. Taylor, Elisabete Weiderpass, Eric J. Grant, Emily White, Jerry Polesel, Maurice P. A. Zeegers

Open source

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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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

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