JP Journal of Biostatistics

The JP Journal of Biostatistics is a highly regarded open-access international journal indexed in the Emerging Sources Citation Index (ESCI). It focuses on the application of statistical theory and methods in resolving problems in biological, biomedical, and agricultural sciences. The journal encourages the submission of experimental papers that employ relevant algorithms and also welcomes survey articles in the fields of biostatistics and epidemiology.

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THREE-STATE MARKOV MODEL FOR CONGESTIVE HEART FAILURE

Authors

  • P. T. Sakkeel

Keywords:

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

DOI:

https://doi.org/10.17654/0973514323011

Abstract

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).

Received: February 10, 2023
Accepted: April 21, 2023

References

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United Network for Organ Sharing (UNOS), Organ Procurement and Transplantation Network (OPTN) data, URL https://optn.transplant.hrsa.gov/.

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Published

2023-06-02

Issue

Section

Articles

How to Cite

THREE-STATE MARKOV MODEL FOR CONGESTIVE HEART FAILURE. (2023). JP Journal of Biostatistics, 23(2), 201-209. https://doi.org/10.17654/0973514323011

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