| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4638327 | Journal of Computational and Applied Mathematics | 2016 | 9 Pages |
Abstract
Statistical Flowgraph Models are an efficient tool to model multi-state stochastic processes. They support both frequentist and Bayesian approaches. Inclusion of covariates is also available. In this paper we propose an easy way to perform a Bayesian approach with covariates. Results are presented with an application to bladder carcinoma data.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
B. García-Mora, C. Santamaría, G. Rubio, J.L. Pontones,