Cox's model for prison partly interval censored data

• Main Authors: Ahmedi, Shaikha, Elfaki, Faiz Ahmed Mohamed, Lukman, Iing, Kabbashi, Nassereldeen Ahmed
• Format: Conference or Workshop Item
• Language: English; English
• Published: IOP Publishing open access policy 2020
• Subjects: QA276 Mathematical Statistics
• Online Access: http://irep.iium.edu.my/80982/1/80982_Cox%27s%20Model%20for%20Prison%20Partly%20Interval%20Censored%20Data.pdf; http://irep.iium.edu.my/80982/7/80982_Cox%27s%20Model%20for%20Prison%20Partly%20Interval%20Censored%20Data_scopus.pdf; http://irep.iium.edu.my/80982/; https://iopscience.iop.org/article/10.1088/1742-6596/1489/1/012032/pdf
• Institution: Universiti Islam Antarabangsa Malaysia

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.