Predictive inference from two-parameter weibull model given a doubly censored sample of hepatocellular carcinoma of liver patients Article

cited authors

  • Khan, HMR; Albatineh, A; Tesfa, S; Jenkins, NR; Ahmed, NU

fiu authors

abstract

  • The purpose of this paper is to derive the predictive densities for future responses from a two-parameter Weibull model given a doubly censored sample. The predictive density for a single future response, bivariate future response, and a set of future responses are derived when the shape parameter a is either known or unknown. A numerical example of hepatocellular carcinoma of 69 liver patients is utilized to illustrate the predictive results for the stages of cancer. The survival days of 69 male and female patients with primary hepatocellular carcinoma of liver are analyzed. Four patients out of 69 patients are lost to follow-up and they are the first two and the last two observations of 69 patients. Furthermore, a sensitivity study of the mean and standard deviation of the predictive densities of survival days with respect to several values of the hyperparameter (τ) is performed when the shape parameter α is unknown. It is found that the rate of the males patients future survival days is lower than the females patients at the initial stage and higher at the later stage. © Nova Science Publishers, Inc.

publication date

  • December 1, 2011

start page

  • 115

end page

  • 128

volume

  • 19

issue

  • 1