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    Unaccounted confounders limit the ability to draw conclusions from big data analysis comparing radiotherapy fractionation regimens in NSCLC

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    Authors
    Salem, A.
    Franks, K.
    Greystoke, A.
    Hanna, G. G.
    Harrow, S.
    Hatton, M.
    Hiley, C.
    McDonald, F.
    Faivre-Finn, Corinne
    Affiliation
    Department of Basic Medical Sciences, Hashemite University, Zarqa, Jordan; Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
    Issue Date
    2022
    
    Metadata
    Show full item record
    Citation
    Salem A, Franks K, Greystoke A, Hanna GG, Harrow S, Hatton M, et al. Unaccounted Confounders Limit the Ability to Draw Conclusions From Big Data Analysis Comparing Radiotherapy Fractionation Regimens in NSCLC. Vol. 17, Journal of Thoracic Oncology. Elsevier BV; 2022. p. e55–6.
    Journal
    Journal of Thoracic Oncology
    URI
    http://hdl.handle.net/10541/625334
    DOI
    10.1016/j.jtho.2022.02.010
    PubMed ID
    35623677
    Additional Links
    https://dx.doi.org/10.1016/j.jtho.2022.02.010
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jtho.2022.02.010
    Scopus Count
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