Cox Regression Models with Time-Varying Covariates Applied to Survival Success of Young Firms 1

Aygül , Anavatan and KARAÖZ, Murat (2013) Cox Regression Models with Time-Varying Covariates Applied to Survival Success of Young Firms 1. Journal of Economic and Social Studies, 3 (2). pp. 53-69. ISSN 1986 – 8502, doi: 10.14706/JECOSS11324

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Abstract

The most widely used model in multivariate analysis of survival data is proportional hazards model proposed by ox. While it is easy to get and interpret the results of the model, the basic assumption of proportional hazards model is that independent variables assumed to remain constant throughout the observation period. Model can give biased results in cases which this assumption is violated. ne of the methods used modelling the hazard ratio in the cases that the proportional hazard assumption is not met is to add a time-dependent variable showing the interaction between the predictor variable and a parametric function of time. In this study, we investigate the factors that affect the survival time of the firms and the time dependence of these factors using ox regression considering time-varying variables. The firm data comes from Business evelopment enters (İŞG M) which is a prominent business incubation center operating in urkey.

Item Type: Article
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Journal of Economic and Social Studies
Depositing User: Mrs. Emina Mekic
Date Deposited: 29 Apr 2014 13:57
Last Modified: 29 Apr 2014 13:57
URI: http://eprints.ibu.edu.ba/id/eprint/2386

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