Parametric model based on imputations techniques for partly interval censored data

Zyoud, Abdallah and Elfaki, Faiz A. M. and Hrairi, Meftah (2017) Parametric model based on imputations techniques for partly interval censored data. In: 4th International Conference on Mathematical Applications in Engineering 2017, ICMAE 2017, 8-9 August 2017, Kuala Lumpur, Malaysia.

	PDF - Published Version Restricted to Repository staff only Download (428kB)
	PDF - Published Version Restricted to Repository staff only Download (207kB)

Abstract

The term ‘survival analysis’ has been used in a broad sense to describe collection of statistical procedures for data analysis. In this case, outcome variable of interest is time until an event occurs where the time to failure of a specific experimental unit might be censored which can be right, left, interval, and Partly Interval Censored data (PIC). In this paper, analysis of this model was conducted based on parametric Cox model via PIC data. Moreover, several imputation techniques were used, which are: midpoint, left & right point, random, mean, and median. Maximum likelihood estimate was considered to obtain the estimated survival function. These estimations were then compared with the existing model, such as: Turnbull and Cox model based on clinical trial data (breast cancer data), for which it showed the validity of the proposed model. Result of data set indicated that the parametric of Cox model proved to be more superior in terms of estimation of survival functions, likelihood ratio tests, and their P-values. Moreover, based on imputation techniques; the midpoint, random, mean, and median showed better results with respect to the estimation of survival function.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	4980/61989
Uncontrolled Keywords:	Survival analysis, Partly Interval Censored, Cox model, Imputation.
Subjects:	Q Science > QA Mathematics > QA276 Mathematical Statistics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Prof. Dr. Meftah Hrairi
Date Deposited:	19 Feb 2018 09:07
Last Modified:	10 Aug 2018 12:06
URI:	http://irep.iium.edu.my/id/eprint/61989

Actions (login required)

View Item