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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Penalized estimation in parametric frailty model
Marwan H Ahelali1, Osama Abdulaziz Alamri2, Anu Sirohi3
1Department of Statistic, University of Tabuk, Tabuk-71491, Kingdom of Saudi Arabia.
Abstract:
Frailty model examines the effect of observable and non-observable factors on time to event data. Presence of collinearity produces unstable estimates of parameters. Therefore, this research focus on the penalized estimation of frailty model and proposed the new estimator which is the extension of ridge and principal component estimators. Simulation is run to reveal the performance of proposed estimator. Moreover, the technique is applied on NFHS (National Family Health Survey) data to examine the infant mortality in India.
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