Bayesian and hierarchical Bayesian analysis of response - time data with concomitant variables
Dinesh Kumar
DOI: 10.4236/jbise.2010.37095   PDF    HTML     7,360 Downloads   11,788 Views   Citations


This paper considers the Bayes and hierarchical Bayes approaches for analyzing clinical data on response times with available values for one or more concomitant variables. Response times are assumed to follow simple exponential distributions, with a different parameter for each patient. The analyses are carried out in case of progressive censoring assuming squared error loss function and gamma distribution as priors and hyperpriors. The possibilities of using the methodology in more general situations like dose- response modeling have also been explored. Bayesian estimators derived in this paper are applied to lung cancer data set with concomitant variables.

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Kumar, D. (2010) Bayesian and hierarchical Bayesian analysis of response - time data with concomitant variables. Journal of Biomedical Science and Engineering, 3, 711-718. doi: 10.4236/jbise.2010.37095.

Conflicts of Interest

The authors declare no conflicts of interest.


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