Cox's model for prison partly interval censored data

Ahmedi, Shaikha and Elfaki, Faiz Ahmed Mohamed and Lukman, Iing and Kabbashi, Nassereldeen Ahmed (2020) Cox's model for prison partly interval censored data. In: 5th International Conference on Mathematical Applications in Engineering (ICMAE’19), 30th-31st October 2019, Putrajaya.

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Abstract

The term survival analysis has been used in examines and models the time until the events occur. The most common tool for studying the dependency of survival time on predictor variables is Cox model proportional hazards regression model. In this paper we present a simple modification of Cox’s proportional hazards model using the partial likelihood principle technique based on Newton Rapson method. Simulation is conducted based on prison partly interval censored data set with particular sample sizes to evaluate the performance of the proposed model, and it shows that the model is feasible and works well.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	4925/80928
Uncontrolled Keywords:	Cox Model; Prison; Newton Rapson, Simulation
Subjects:	Q Science > QA Mathematics > QA276 Mathematical Statistics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Biotechnology Engineering
Depositing User:	Dr Nassereldeen Kabbashi
Date Deposited:	29 Jun 2020 17:18
Last Modified:	08 Apr 2021 14:02
URI:	http://irep.iium.edu.my/id/eprint/80982

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