Takada, T., Nijman, S., Denaxas, S., Snell, K. I., Uijl, A., Nguyen, T., . . . Debray, T. P. (2021). Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets. JOURNAL OF CLINICAL EPIDEMIOLOGY, 137, 83-91. https://doi.org/10.1016/j.jclinepi.2021.03.025
Chicago Style (17th ed.) CitationTakada, Toshihiko, Steven Nijman, Spiros Denaxas, Kym I.E Snell, Alicia Uijl, Tri-Long Nguyen, Folkert W. Asselbergs, and Thomas P.A Debray. "Internal-external Cross-validation Helped to Evaluate the Generalizability of Prediction Models in Large Clustered Datasets." JOURNAL OF CLINICAL EPIDEMIOLOGY 137 (2021): 83-91. https://doi.org/10.1016/j.jclinepi.2021.03.025.
MLA (9th ed.) CitationTakada, Toshihiko, et al. "Internal-external Cross-validation Helped to Evaluate the Generalizability of Prediction Models in Large Clustered Datasets." JOURNAL OF CLINICAL EPIDEMIOLOGY, vol. 137, 2021, pp. 83-91, https://doi.org/10.1016/j.jclinepi.2021.03.025.