Embracing Phenomenological Approaches to Normal Tissue Complication Probability Modeling: A Question of Method

International Journal of Radiation Oncology Biology Physics

Volumn 91, Issue 3, 2015, Pages 468-471

  Van Der Schaaf, Arjien ^a   Langendijk, Johannes Albertus ^a   Fiorino, Claudio ^b   Rancati, Tiziana ^c  

^a UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^b SAN RAFFAELE HOSPITAL   (Italy)

^c NATIONAL CANCER INSTITUTE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MODEL; EPIDEMIOLOGY; HUMAN; ORGANS AT RISK; PROBABILITY; RADIATION INJURIES; RADIATION RESPONSE; REPRODUCIBILITY; STATISTICAL MODEL; UNCERTAINTY;

CAUSALITY; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; ORGANS AT RISK; PROBABILITY; RADIATION INJURIES; REPRODUCIBILITY OF RESULTS; UNCERTAINTY;

EID: 84923261468     PISSN: 03603016     EISSN: 1879355X     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2014.10.017     Document Type: Editorial

References (6)

1. M.A. Pitt, and I.J. Myung When a good fit can be bad Trends Cogn Sci 6 2002 421 425
2. T. Hastie, R. Tibshirani, and J. Friedman The elements of statistical learning: Data mining, inference, and prediction 2nd ed. 2009 Springer New York
3. I. El Naqa, J. Bradley, and A.I. Blanco Multivariable modeling of radiotherapy outcomes, including dose-volume and clinical factors Int J Radiat Oncol Biol Phys 64 2006 1275 1286
4. P.C. Austin, and J.V. Tu Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortality J Clin Epidemiol 57 2004 1138 1146
5. E.W. Steyerberg Clinical prediction models 2009 Springer New York
6. P. Lambin, R.G. van Stiphout, and M.H. Starmans Predicting outcomes in radiation oncology: Multifactorial decision support systems Nat Rev Clin Oncol 10 2013 27 40