MODELING HETEROGENEITY FOR BIVARIATE SURVIVAL DATA BY POWER VARIANCE FUNCTION DISTRIBUTION

Authors

  • David D. Hanagal Department of Statistics, University of Pune, Pune-411007, India.

Keywords:

Bivariate Weibull, Parametric regression, Power variance function frailty, Simultaneous failures, Survival times.

Abstract

We propose a bivariate Weibull regression model with frailty which is generated by power variance function distribution. We assume that the bivariate survival data follow bivariate Weibull of Hanagal (2005a) and distribution of censoring variable is independent of the two life times. There are some interesting situations like survival times in genetic epidemiology, survival times of dental implants of patients and survival times of twin births (both monozygotic and dizygotic) where genetic behavior (which is unknown and random) of patients follows a power variance function frailty distribution. These are the situations which motivate to study this particular model. We propose two stage maximum likelihood estimation procedure for the parameters and develop large sample tests for no frailty and the significance of regression parameters in the proposed model.

Downloads

Download data is not yet available.

References

Clayton, D.G. (1978). A model for association in bivariate life tables and its

applications to epidemiological studies of familial tendency in chronic disease

incidence. Biometrika, 65, 141-51.

Freund, J.E. (1961). A bivariate extension of the exponential distribution. Journal

of the Amer. Statist. Assoc., 56, 971-77.

Hanagal, D.D. (1992a). Some inference results in bivariate exponential

distributions based on censored samples. Comm.Statist., Theory and Methods, 21,

-95.

Hanagal, D.D. (1992b). Some inference results in modified Freund’s bivariate

exponential distribution. Biometrical Journal, 34(6), 745-56.

Hanagal, D.D. (1996). A multivariate Weibull distribution. Economic Quality

Control, 11, 193-200.

Hanagal, D.D. (2004). Parametric bivariate regression analysis based on censored

samples: A Weibull model. Economic Quality Control, 19, 83-90.

Hanagal, D.D. (2005a). A bivariate Weibull regression model. Economic Quality

Control, 20, 143-50.

Hanagal, D.D. (2005b). A positive stable frailty regression model in bivariate

survival data. Journal of the Indian Society for Probability and Statistics, 9, 35-44.

Hanagal, D.D. (2006a). Bivariate Weibull regression model based on censored

samples. Statistical Papers, 47, 137-48.

Downloads

Published

2009-06-01

How to Cite

Hanagal, D. D. . (2009). MODELING HETEROGENEITY FOR BIVARIATE SURVIVAL DATA BY POWER VARIANCE FUNCTION DISTRIBUTION. Journal of Reliability and Statistical Studies, 2(1), 14–27. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/22083

Issue

Section

Articles