K-means for shared frailty models

• Published in: BMC medical research methodology Vol. 22; no. 1; pp. 11 - 13
• Main Authors: Govindarajulu, Usha, Bedi, Sandeep
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 12.01.2022; BioMed Central; BMC
• Subjects: Algorithms; Analysis; Clustering (Computers); Datasets; Event history analysis; Frail elderly; Frailty; Heterogeneity; Methods; Modified k-means algorithm; Shared frailty; Simulation; Software; Survival analysis; Iran; Heterogeneity; Survival analysis; Shared frailty; Modified k-means algorithm

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 explained by the covaria...