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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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    Authors
    Mbah, C
    Thierens, H
    Thas, O
    De Neve, J
    Chang-Claude, J
    Seibold, P
    Botma, A
    West, Catharine M L
    De Ruyck, K
    Affiliation
    Department of Basic Medical Sciences, Faculty of Health Sciences, Ghent University, Ghent, Belgium
    Issue Date
    2016-08-01
    
    Metadata
    Show full item record
    Abstract
    To identify the main causes underlying the failure of prediction models for radiation therapy toxicity to replicate.
    Citation
    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. 2016, 95 (5):1466-76 Int J Radiat Oncol Biol Phys
    Journal
    International Journal of Radiation Oncology, Biology, Physics
    URI
    http://hdl.handle.net/10541/619945
    DOI
    10.1016/j.ijrobp.2016.03.034
    PubMed ID
    27479726
    Type
    Article
    Language
    en
    ISSN
    1879-355X
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ijrobp.2016.03.034
    Scopus Count
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