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

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...

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Udgivet i:Front Public Health
Main Authors: Guo, Chao-Yu, Yang, Ying-Chen, Chen, Yi-Hau
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2021
Fag:
Public Health
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8289437/
https://ncbi.nlm.nih.gov/pubmed/34291028
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpubh.2021.680054
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