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Pitfalls in prediction modeling for normal tissue toxicity in radiation therapy: an illustration with the individual radiation sensitivity and mammary carcinoma risk factor investigation cohorts

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Keywords
CANCER PATIENTS, BREAST-CANCER, INDUCED PNEUMONITIS, RADIOTHERAPY, ONCOLOGY, RADIOSENSITIVITY, REGRESSION

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MLA
Mbah, Chamberlain et al. “Pitfalls in Prediction Modeling for Normal Tissue Toxicity in Radiation Therapy: An Illustration with the Individual Radiation Sensitivity and Mammary Carcinoma Risk Factor Investigation Cohorts.” INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS 95.5 (2016): 1466–1476. Print.
APA
Mbah, C., Thierens, H., Thas, O., De Neve, J., Chan-Claude, J., Seibod, P., Botma, A., et al. (2016). Pitfalls in prediction modeling for normal tissue toxicity in radiation therapy: an illustration with the individual radiation sensitivity and mammary carcinoma risk factor investigation cohorts. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 95(5), 1466–1476.
Chicago author-date
Mbah, Chamberlain, Hubert Thierens, Olivier Thas, Jan De Neve, Jenny Chan-Claude, Petra Seibod, Akke Botma, Catherine West, and Kim De Ruyck. 2016. “Pitfalls in Prediction Modeling for Normal Tissue Toxicity in Radiation Therapy: An Illustration with the Individual Radiation Sensitivity and Mammary Carcinoma Risk Factor Investigation Cohorts.” International Journal of Radiation Oncology Biology Physics 95 (5): 1466–1476.
Chicago author-date (all authors)
Mbah, Chamberlain, Hubert Thierens, Olivier Thas, Jan De Neve, Jenny Chan-Claude, Petra Seibod, Akke Botma, Catherine West, and Kim De Ruyck. 2016. “Pitfalls in Prediction Modeling for Normal Tissue Toxicity in Radiation Therapy: An Illustration with the Individual Radiation Sensitivity and Mammary Carcinoma Risk Factor Investigation Cohorts.” International Journal of Radiation Oncology Biology Physics 95 (5): 1466–1476.
Vancouver
1.
Mbah C, Thierens H, Thas O, De Neve J, Chan-Claude J, Seibod P, et al. Pitfalls in prediction modeling for normal tissue toxicity in radiation therapy: an illustration with the individual radiation sensitivity and mammary carcinoma risk factor investigation cohorts. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS. 2016;95(5):1466–76.
IEEE
[1]
C. Mbah et al., “Pitfalls in prediction modeling for normal tissue toxicity in radiation therapy: an illustration with the individual radiation sensitivity and mammary carcinoma risk factor investigation cohorts,” INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, vol. 95, no. 5, pp. 1466–1476, 2016.
@article{8055711,
  author       = {Mbah, Chamberlain and Thierens, Hubert and Thas, Olivier and De Neve, Jan and Chan-Claude, Jenny and Seibod, Petra and Botma, Akke and West, Catherine and De Ruyck, Kim},
  issn         = {0360-3016},
  journal      = {INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS},
  keywords     = {CANCER PATIENTS,BREAST-CANCER,INDUCED PNEUMONITIS,RADIOTHERAPY,ONCOLOGY,RADIOSENSITIVITY,REGRESSION},
  language     = {eng},
  number       = {5},
  pages        = {1466--1476},
  title        = {Pitfalls in prediction modeling for normal tissue toxicity in radiation therapy: an illustration with the individual radiation sensitivity and mammary carcinoma risk factor investigation cohorts},
  url          = {http://dx.doi.org/10.1016/j.ijrobp.2016.03.034},
  volume       = {95},
  year         = {2016},
}

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