Using weibull mixture distributions to model heterogeneous survival dataReport as inadecuate




Using weibull mixture distributions to model heterogeneous survival data - Download this document for free, or read online. Document in PDF available to download.

Issued date: 2003-07

Serie-No.: UC3M Working Papers. Statistics and Econometrics2003-08

Abstract:In this article we use Bayesian methods to fit a Weibull mixture model with an unknown number of components to possibly right censored survival data. This is done using the recently developed, birth-death MCMC algorithm. We also show how to estimate the survivIn this article we use Bayesian methods to fit a Weibull mixture model with an unknown number of components to possibly right censored survival data. This is done using the recently developed, birth-death MCMC algorithm. We also show how to estimate the survivor function and the expected hazard rate from the MCMA output.+-





Author: Marín, J. Miguel; Rodríguez Bernal, M. T.; Wiper, Michael P.

Source: http://e-archivo.uc3m.es


Teaser



Universidad Carlos III de Madrid Repositorio institucional e-Archivo http:--e-archivo.uc3m.es Departamento de Estadística DES - Working Papers.
Statistics and Econometrics.
WS 2003-07 Using weibull mixture distributions to model heterogeneous survival data Marín, J.
Miguel http:--hdl.handle.net-10016-197 Descargado de e-Archivo, repositorio institucional de la Universidad Carlos III de Madrid Working Paper 03-32 Statistics and Econometrics Series 08 July 2003 Departamento de Estadística y Econometría Universidad Carlos III de Madrid Calle Madrid, 126 28903 Getafe (Spain) Fax (34) 91 624-98-49 USING WEIBULL MIXTURE DISTRIBUTIONS TO MODEL HETEROGENEOUS SURVIVAL DATA J.M.
Marín, M.R.
Rodríguez Bernal and M.P.
Wiper* Abstract In this article we use Bayesian methods to fit a Weibull mixture model with an unknown number of components to possibly right censored survival data.
This is done using the recently developed, birth-death MCMC algorithm.
We also show how to estimate the survivor function and the expected hazard rate from the MCMA output. Keywords: Bayesian, Weibull, Survival Analysis, Mixtures, MCMC. *Marín, Departamento de Informática, Estadística y Telemática, Universidad Rey Juan Carlos de Madrid; Rodríguez, Departamento de Estadística y Econometría, Universidad Carlos III de Madrid; Wiper, Departamento de Estadística y Econometría, Universidad Carlos III de Madrid, C- Madrid 126, 28903 Getafe (Madrid), e-mail: mwiper@estecon.uc3m.es.
Michael Wiper acknowledges assistance from the Spanish Ministry of Science and Technology via project BEC2000-0167. Using Weibull mixture distributions to model heterogeneous survival data J.M.
Marı́n1 , M.T.
Rodrı́guez-Bernal2 and M.
Wiper2 1 Departamento de Informática, Estadı́stica y Telemática Universidad Rey Juan Carlos, Madrid, España 2 Departamento de Estadı́stica Universidad Carlos III, Madrid, España Abstract In this article we use Bayesian methods to fit a Weibull mixture mo...





Related documents