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                                       Details for article 5 of 10 found articles
 
 
  Fitting a mixture distribution to complex censored survival data using generalized linear models
 
 
Title: Fitting a mixture distribution to complex censored survival data using generalized linear models
Author: Scallan, A. J.
Appeared in: Journal of applied statistics
Paging: Volume 26 (1999) nr. 6 pages 747-753
Year: 1999-08-01
Contents: Mixture models may arise for a variety of reasons in survival data analysis. This paper shows how such models that involve potentially complex cross-classification by covariates may be easily fitted using a package such as GLIM. The method employs an auxiliary Poisson-binomial model in order to find the maximum-likelihood estimates of the model parameters, and has been implemented using GLIM macros.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 5 of 10 found articles
 
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