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K-means for shared frailty models

Abstract Background The purpose of this research was to see how the k-means algorithm can be applied to survival analysis with single events per subject for defining groups, which can then be modeled in a shared frailty model to further allow the capturing the unmeasured confounding not already expl...

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Principais autores: Usha Govindarajulu, Sandeep Bedi
פורמט: Artigo
שפה:Inglês
יצא לאור: BMC 2022-01-01
סדרה:BMC Medical Research Methodology
נושאים:
Modified k-means algorithm
Shared frailty
Survival analysis
Heterogeneity
גישה מקוונת:https://doi.org/10.1186/s12874-021-01424-5
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