Work

Penalized estimation in parametric frailty model

Year: 2024

Type: article

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.

Source: Heliyon

DOI: 10.1016/j.heliyon.2024.e35848

Authors: Marwan H. Ahelali, Osama Abdulaziz Alamri, Anu Sirohi

Institutions: University of Tabuk, Amity University

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,100