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. |
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| 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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