Congestive heart failure results from underlying cardiovascular diseases and is one of the leading causes of death in the world. In this study, we propose a three-state Markov model for congestive heart failure, which helps to understand the underlying mechanisms of disease progression and recovery process. The model behavior is evaluated using the real-life data set collected from the Organ Procurement and Transplantation Network (OPTN).

congestive heart failure, stochastic model, transition probability matrix, mean sojourn time.

Received: February 10, 2023; Accepted: April 21, 2023; Published: June 2, 2023

How to cite this article: P. T. Sakkeel, Three-state Markov model for congestive heart failure, JP Journal of Biostatistics 23(2) (2023), 201-209. http://dx.doi.org/10.17654/0973514323011

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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