Random Forest in R: Practical application for data imputation for clinical research in Hemato-Oncology
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https://doi.org/10.20453/rmh.v36i4.5990Downloads
References
Tang M, Pearson S-A, Simes RJ, Chua BH. Harnessing Real-World Evidence to Advance Cancer Research. Curr Oncol. 2023;30(2):1844. doi:10.3390/curroncol30020143
Derman BA, Belli AJ, Battiwalla M, Hamadani M, Kansagra A, Lazarus HM, et al. Reality check: Real-world evidence to support therapeutic development in hematologic malignancies. Blood Rev. 2022;53:100913. doi:10.1016/j.blre.2021.100913
Montenegro-Montenegro E, Oh Y, Chesnut S. No le tema a los datos perdidos: enfoques modernos para el manejo de datos perdidos. Actual En Psicol. 2015;29(119):29–42. doi:10.15517/ap.v29i119.18812
Austin PC, White IR, Lee DS, van Buuren S. Missing Data in Clinical Research: A Tutorial on Multiple Imputation. Can J Cardiol. 2021;37(9):1322–31. doi:10.1016/j.cjca.2020.11.010
Hong S, Lynn HS. Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction. BMC Med Res Methodol. 2020;20(1):199. doi:10.1186/s12874-020-01080-1
Cargar base de datos a RStudio [Internet]. 2020 [citado el 22 de junio de 2025]. Disponible en: https://www.youtube.com/watch?v=DLfRH-CD6jU
Vicente Coll Serrano. Introducción al Análisis Exploratorio de Datos. Aplicaciones con R y datos reales. [Internet]. 2020 [citado el 22 de junio de 2025]. 389 p. Disponible en: https://www.researchgate.net/publication/376184397_Introduccion_al_Analisis_Exploratorio_de_Datos_Aplicaciones_con_R_y_datos_reales
Shah AD, Bartlett JW, Carpenter J, Nicholas O, Hemingway H. Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study. Am J Epidemiol. 2014;179(6):764–74. doi:10.1093/aje/kwt312
Rodríguez MD, Díaz JL, Massons JMD. Estudios para pruebas diagnósticas y factores pronósticos. Graunt21; 2022. 220 p.
Madley-Dowd P, Hughes R, Tilling K, Heron J. The proportion of missing data should not be used to guide decisions on multiple imputation. J Clin Epidemiol. 2019;110:63–73. doi:10.1016/j.jclinepi.2019.02.016
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