SURVIVAL ANALYSIS OF
CANCER PATIENTS USING PARAMETRIC AND NON-PARAMETRIC APPROACHES
M. AKRAM,
M. AMAN ULLAH AND R. TAJ
Department of Statistics,
Bahauddin
Zakariya
University
Multan,
Pakistan
Abstract
Exploring the health related quality of life is usually the focus of the
survival studies. Using the health data of cancer registry in
Multan,
Pakistan,
an investigation about the survival pattern of cancer patients was explored,
using the non-parametric and parametric modeling strategies. The Kaplan-Meier
method and Weibull model based on Anderson-Darling test were applied to the real
life time data. Findings suggested different sex-superiority of survival pattern
among different groups of cancer patients. Interestingly, Kaplan-Meier and
Weibul model provided a very close estimate of the survival function and other
characteristics of interest.
Key words:
Anderson-Darling test, cancer patients, hazard function, Kaplan-Meier estimate,
survival function.