Unaccounted confounders limit the ability to draw conclusions from big data analysis comparing radiotherapy fractionation regimens in NSCLC
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 KingdomIssue Date
2022
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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 OncologyDOI
10.1016/j.jtho.2022.02.010PubMed ID
35623677Additional Links
https://dx.doi.org/10.1016/j.jtho.2022.02.010Type
ArticleLanguage
enae974a485f413a2113503eed53cd6c53
10.1016/j.jtho.2022.02.010
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