Universiti Teknologi Malaysia Institutional Repository

Estimating proportional hazards model using frequentist and bayesian approaches

Mohamed Ismail, Noraslinda and Mohd. Khalid, Zarina and Ahmad, Norhaiza (2012) Estimating proportional hazards model using frequentist and bayesian approaches. Malaysian Journal of Fundamental and Applied Sciences, 8 (2). pp. 73-82. ISSN 1823-626X

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Abstract

In statistics, the proportional hazards model (PHM) is one of a class of survival models. This model estimates the effects of different covariates influencing the time-to-event data in which the hazard function has been assumed to be the product of the baseline hazard function and a non-negative function of covariates. In this study, we investigate the hazard function, also known as the risk function or intensity function, which is employed in modelling the survival data and waiting times. The model parameters can be estimated via frequentist or Bayesian approach. However, the Bayesian approach is well known to have the advantages over frequentist methods when the data are small in size and involve censored individuals. In this paper, the PHM for right-censored data from Bayesian perspective will be discussed and the

Item Type:Article
Additional Information:UTM Open Access Journal
Uncontrolled Keywords:proportional, hazards model, hazard function, bayesian, MCMC
Subjects:Q Science > Q Science (General)
Divisions:Science
ID Code:29084
Deposited By: Rahmah Samshi
Deposited On:13 Mar 2013 03:51
Last Modified:25 Feb 2014 04:54

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