Discrimination, calibration, and variable importance in statistical and machine learning models for predicting overall survival in advanced non-small cell lung cancer patients treated with immune checkpoint inhibitors.

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Title: Discrimination, calibration, and variable importance in statistical and machine learning models for predicting overall survival in advanced non-small cell lung cancer patients treated with immune checkpoint inhibitors.
Authors: Li LX; College of Medicine and Public Health, Flinders University, Adelaide, Australia. Electronic address: lee.li@flinders.edu.au., Hopkins AM; College of Medicine and Public Health, Flinders University, Adelaide, Australia., Woodman R; College of Medicine and Public Health, Flinders University, Adelaide, Australia., Abuhelwa AY; Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates., Gao Y; College of Medicine and Public Health, Flinders University, Adelaide, Australia., Parent N; College of Medicine and Public Health, Flinders University, Adelaide, Australia., Rowland A; College of Medicine and Public Health, Flinders University, Adelaide, Australia., Sorich MJ; College of Medicine and Public Health, Flinders University, Adelaide, Australia.
Source: Journal of clinical epidemiology [J Clin Epidemiol] 2026 Feb; Vol. 190, pp. 112082. Date of Electronic Publication: 2025 Nov 21.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 8801383 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-5921 (Electronic) Linking ISSN: 08954356 NLM ISO Abbreviation: J Clin Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Discrimination, calibration, and variable importance in statistical and machine learning models for predicting overall survival in advanced non-small cell lung cancer patients treated with immune checkpoint inhibitors.
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  Data: <searchLink fieldCode="AU" term="%22Li+LX%22">Li LX</searchLink>; College of Medicine and Public Health, Flinders University, Adelaide, Australia. Electronic address: lee.li@flinders.edu.au.<br /><searchLink fieldCode="AU" term="%22Hopkins+AM%22">Hopkins AM</searchLink>; College of Medicine and Public Health, Flinders University, Adelaide, Australia.<br /><searchLink fieldCode="AU" term="%22Woodman+R%22">Woodman R</searchLink>; College of Medicine and Public Health, Flinders University, Adelaide, Australia.<br /><searchLink fieldCode="AU" term="%22Abuhelwa+AY%22">Abuhelwa AY</searchLink>; Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Gao+Y%22">Gao Y</searchLink>; College of Medicine and Public Health, Flinders University, Adelaide, Australia.<br /><searchLink fieldCode="AU" term="%22Parent+N%22">Parent N</searchLink>; College of Medicine and Public Health, Flinders University, Adelaide, Australia.<br /><searchLink fieldCode="AU" term="%22Rowland+A%22">Rowland A</searchLink>; College of Medicine and Public Health, Flinders University, Adelaide, Australia.<br /><searchLink fieldCode="AU" term="%22Sorich+MJ%22">Sorich MJ</searchLink>; College of Medicine and Public Health, Flinders University, Adelaide, Australia.
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  Data: <searchLink fieldCode="JN" term="%228801383%22">Journal of clinical epidemiology</searchLink> [J Clin Epidemiol] 2026 Feb; Vol. 190, pp. 112082. <i>Date of Electronic Publication: </i>2025 Nov 21.
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        Value: 10.1016/j.jclinepi.2025.112082
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              Text: 2026 Feb
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              Y: 2026
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