Unaccounted Confounders Limit the Ability to Draw Conclusions From Big Data Analysis Comparing Radiotherapy Fractionation Regimens in NSCLC

Ahmed Salem; Kevin Franks; Alastair Greystoke; Gerard G Hanna; Stephen Harrow; Matthew Hatton; Crispin Hiley; Fiona McDonald; Corinne Faivre-Finn

doi:10.1016/j.jtho.2022.02.010

Unaccounted Confounders Limit the Ability to Draw Conclusions From Big Data Analysis Comparing Radiotherapy Fractionation Regimens in NSCLC

Ahmed Salem, Kevin Franks, Alastair Greystoke, Gerard G Hanna, Stephen Harrow, Matthew Hatton, Crispin Hiley, Fiona McDonald, Corinne Faivre-Finn

Research output: Contribution to journal › Letter › peer-review

Original language	English
Pages (from-to)	e55-e56
Journal	Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
Volume	17
Issue number	6
DOIs	https://doi.org/10.1016/j.jtho.2022.02.010
Publication status	Published - Jun 2022

Keywords

Carcinoma, Non-Small-Cell Lung/radiotherapy
Data Analysis
Humans
Lung Neoplasms/radiotherapy

Research Beacons, Institutes and Platforms

Manchester Cancer Research Centre

Access to Document

10.1016/j.jtho.2022.02.010

Cite this

Salem, A., Franks, K., Greystoke, A., Hanna, G. G., Harrow, S., Hatton, M., Hiley, C., McDonald, F., & Faivre-Finn, C. (2022). Unaccounted Confounders Limit the Ability to Draw Conclusions From Big Data Analysis Comparing Radiotherapy Fractionation Regimens in NSCLC. Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 17(6), e55-e56. https://doi.org/10.1016/j.jtho.2022.02.010

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title = "Unaccounted Confounders Limit the Ability to Draw Conclusions From Big Data Analysis Comparing Radiotherapy Fractionation Regimens in NSCLC",

keywords = "Carcinoma, Non-Small-Cell Lung/radiotherapy, Data Analysis, Humans, Lung Neoplasms/radiotherapy",

author = "Ahmed Salem and Kevin Franks and Alastair Greystoke and Hanna, {Gerard G} and Stephen Harrow and Matthew Hatton and Crispin Hiley and Fiona McDonald and Corinne Faivre-Finn",

year = "2022",

month = jun,

doi = "10.1016/j.jtho.2022.02.010",

language = "English",

volume = "17",

pages = "e55--e56",

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issn = "1556-0864",

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Salem, A, Franks, K, Greystoke, A, Hanna, GG, Harrow, S, Hatton, M, Hiley, C, McDonald, F & Faivre-Finn, C 2022, 'Unaccounted Confounders Limit the Ability to Draw Conclusions From Big Data Analysis Comparing Radiotherapy Fractionation Regimens in NSCLC', Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, vol. 17, no. 6, pp. e55-e56. https://doi.org/10.1016/j.jtho.2022.02.010

Unaccounted Confounders Limit the Ability to Draw Conclusions From Big Data Analysis Comparing Radiotherapy Fractionation Regimens in NSCLC. / Salem, Ahmed; Franks, Kevin; Greystoke, Alastair et al.
In: Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, Vol. 17, No. 6, 06.2022, p. e55-e56.

Research output: Contribution to journal › Letter › peer-review

TY - JOUR

T1 - Unaccounted Confounders Limit the Ability to Draw Conclusions From Big Data Analysis Comparing Radiotherapy Fractionation Regimens in NSCLC

AU - Salem, Ahmed

AU - Franks, Kevin

AU - Greystoke, Alastair

AU - Hanna, Gerard G

AU - Harrow, Stephen

AU - Hatton, Matthew

AU - Hiley, Crispin

AU - McDonald, Fiona

AU - Faivre-Finn, Corinne

PY - 2022/6

Y1 - 2022/6

KW - Carcinoma, Non-Small-Cell Lung/radiotherapy

KW - Data Analysis

KW - Humans

KW - Lung Neoplasms/radiotherapy

U2 - 10.1016/j.jtho.2022.02.010

DO - 10.1016/j.jtho.2022.02.010

M3 - Letter

C2 - 35623677

SN - 1556-0864

VL - 17

SP - e55-e56

JO - Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer

JF - Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer

IS - 6

ER -

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. Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer. 2022 Jun;17(6):e55-e56. doi: 10.1016/j.jtho.2022.02.010