K-means for shared frailty models

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 explained by...

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Bibliographic Details
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:	London BioMed Central 12.01.2022 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Analysis Clustering (Computers) Datasets Event history analysis Frail elderly Frailty Health Sciences Heterogeneity Medicine Medicine & Public Health Methods Modified k-means algorithm Shared frailty Simulation Software Statistical Theory and Methods Statistics for Life Sciences Survival analysis Theory of Medicine/Bioethics Iran Survival analysis Heterogeneity Shared frailty Modified k-means algorithm
ISSN:	1471-2288, 1471-2288
Online Access:	Get full text
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