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Unaccounted Confounders Limit the Ability to Draw Conclusions From Big Data Analysis Comparing Radiotherapy Fractionation Regimens in NSCLC.
Salem, Ahmed; Franks, Kevin; Greystoke, Alastair; Hanna, Gerard G; Harrow, Stephen; Hatton, Matthew; Hiley, Crispin; McDonald, Fiona; Faivre-Finn, Corinne.
Afiliación
  • Salem A; Department of Basic Medical Sciences, Hashemite University, Zarqa, Jordan; Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom. Electronic address: asalem@hu.edu.jo.
  • Franks K; Leeds Cancer Centre, St. James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
  • Greystoke A; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Hanna GG; Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland.
  • Harrow S; Edinburgh Cancer Centre, Edinburgh, United Kingdom.
  • Hatton M; Department of Clinical Oncology, Weston Park Hospital, Sheffield, United Kingdom.
  • Hiley C; Research Department of Oncology, University College London, London, United Kingdom.
  • McDonald F; Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom.
  • Faivre-Finn C; Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom; Department Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom.
J Thorac Oncol ; 17(6): e55-e56, 2022 06.
Article en En | MEDLINE | ID: mdl-35623677
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Carcinoma de Pulmón de Células no Pequeñas / Neoplasias Pulmonares Idioma: En Revista: J Thorac Oncol Año: 2022 Tipo del documento: Article
Texto completo
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XML
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Carcinoma de Pulmón de Células no Pequeñas / Neoplasias Pulmonares Idioma: En Revista: J Thorac Oncol Año: 2022 Tipo del documento: Article