Cita APA (7a ed.)
Wang, Y., Flowers, C. R., Li, Z., & Huang, X. (2022). CondiS: A conditional survival distribution-based method for censored data imputation overcoming the hurdle in machine learning-based survival analysis. Journal of Biomedical Informatics, 131, -1.
Cita Chicago Style (17a ed.)
Wang, Yizhuo, Christopher R. Flowers, Ziyi Li, y Xuelin Huang. "CondiS: A Conditional Survival Distribution-based Method for Censored Data Imputation Overcoming the Hurdle in Machine Learning-based Survival Analysis." Journal of Biomedical Informatics 131 (2022): -1.
Cita MLA (9a ed.)
Wang, Yizhuo, et al. "CondiS: A Conditional Survival Distribution-based Method for Censored Data Imputation Overcoming the Hurdle in Machine Learning-based Survival Analysis." Journal of Biomedical Informatics, vol. 131, 2022, pp. -1.
Precaución: Estas citas no son 100% exactas.