Sometimes, the introduction of covariates in stochastic processes is required to study their effect on disease history events. However these types of models increase the complexity of analysis, even for simpler processes, and standard software to analyse stochastic processes is limited. In this paper, a method for fitting homogeneous Markov models with covariates is proposed for analysing breast cancer data. Specific software for this purpose has been implemented.
Ocaña-Rilola, Ricardo; Sanchez-Cantalejo, Emilio; and Martinez-Garcia, Carmen
"Homogeneous Markov Processes For Breast Cancer Analysis,"
Journal of Modern Applied Statistical Methods: Vol. 2
, Article 20.
Available at: http://digitalcommons.wayne.edu/jmasm/vol2/iss1/20