The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model

• Κύριοι συγγραφείς: Chao-Yu Guo (Συγγραφέας), Ying-Chen Yang (Συγγραφέας), Yi-Hau Chen (Συγγραφέας)
• Μορφή: Βιβλίο
• Έκδοση: Frontiers Media S.A., 2021-07-01T00:00:00Z.
• Θέματα: article
• Διαθέσιμο Online: Connect to this object online.

An adequate imputation of missing data would significantly preserve the statistical power and avoid erroneous conclusions. In the era of big data, machine learning is a great tool to infer the missing values. The root means square error (RMSE) and the proportion of falsely classified entries (PFC) a...