LX, L., AM, H., R, W., AY, A., Y, G., N, P., . . . MJ, S. (2026). 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. Journal of clinical epidemiology, 190, 112082. https://doi.org/10.1016/j.jclinepi.2025.112082
Chicago Style (17th ed.) CitationLX, Li, Hopkins AM, Woodman R, Abuhelwa AY, Gao Y, Parent N, Rowland A, and Sorich MJ. "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." Journal of Clinical Epidemiology 190 (2026): 112082. https://doi.org/10.1016/j.jclinepi.2025.112082.
MLA (9th ed.) CitationLX, Li, et al. "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." Journal of Clinical Epidemiology, vol. 190, 2026, p. 112082, https://doi.org/10.1016/j.jclinepi.2025.112082.
