Nonparametric estimate based on imputations techniques for interval and partly interval censored data

Zyoud, Abdallah and Elfaki, Faiz Ahmed Mohamed and Meftah, Hrairi (2016) Nonparametric estimate based on imputations techniques for interval and partly interval censored data. Science International Lahore, 28 (2 (Section A)). pp. 879-884. ISSN 1013-5316

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Abstract

This paper discusses the nonparametric analysis of interval and partly interval censored data, which is occur in many fields including demographical, epidemiological, financial, medical and sociological studies. For Partly Interval Censored (PIC) we mean that for some subjects the exact failure time is observed while the rest are only known to fall within an interval (Kim 2003). In medical and reliability studies the most important function is the survival function. However, we used a nonparametric model to estimate the survival function based on different imputation techniques in the present of interval censored and PIC data. Our proposal is easily implemented using R software.

Item Type:	Article (Journal)
Additional Information:	4925/51085
Uncontrolled Keywords:	Nonparametric Estimator; PIC Data; Imputation; Turnbull Estimator; Survival Analysis.
Subjects:	Q Science > QA Mathematics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Science
Depositing User:	Dr faiz elfaki
Date Deposited:	01 Jul 2016 08:16
Last Modified:	17 Oct 2017 11:38
URI:	http://irep.iium.edu.my/id/eprint/51085

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