Predicting Epithelial Ovarian Cancer first recurrence with Random Survival Forest: Comparison Parametric, Semi-Parametric, and Random Survival Forest Methods
Objective: Rapid technological advances in the last century and the large amount of information have made it difficult to analyze a large number of independent variables. In such circumstances, the existence of interactions of different degrees in the model is expected, in this case, the Cox model...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tehran University of Medical Sciences
2021-02-01
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| Series: | Journal of Biostatistics and Epidemiology |
| Subjects: | |
| Online Access: | https://jbe.tums.ac.ir/index.php/jbe/article/view/418 |