Incorporating covariates in a flowgraph model for bladder carcinoma

Autores UPV
Año
CONGRESO Incorporating covariates in a flowgraph model for bladder carcinoma

Abstract

Superficial bladder cancer is a significant public health prob- lem with remaining challenges. Urologists need tools to accurately predict the real evolution of the disease, that help them to improve treatment modalities and follow-up schemes. Multi-state stochastic processes are a convenient framework for modeling the process, and the statistical flow- graph approach is an efficient tool to perform the task. In this paper this approach is improved by incorporating covariates in the model.