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JP Journal of Biostatistics

JP Journal of Biostatistics
Volume 24, Issue 3, Pages 449 - 472 (November 2024)
http://dx.doi.org/10.17654/0973514324025

STOCHASTIC ANALYSIS OF A MODEL ON LIVER DISEASE CONSIDERING LIVER TRANSPLANTATION

Shikha Bhardwaj and Rajeev Kumar

Abstract:

Liver is a vital organ in human being. Liver disease has basically four different stages of its progression namely hepatitis or steatosis or hepatosteatosis (Stage 1), fibrosis (Stage 2), cirrhosis (Stage 3), and hepatocellular carcinoma (Stage 4). The diagnosis of a specific stage of liver disease can be made by clinical laboratory imaging or liver stiffness finding. The goal of the present paper is to analyze the performance of human liver to enhance survivability. For the purpose, a stochastic model has been developed for the human liver considering liver disease at different stages of its progression and liver transplantation at cirrhosis stage. Using Markov process and regenerative point technique, survivability measures are obtained and analyzed. Sensitivity and relative sensitivity analyses are also carried out to judge the impact of various parameters.

Keywords and phrases:

liver disease progression, liver transplantation, mean survival time, sensitivity analysis, Markov process and regenerative point technique

Received: April 30, 2024; Revised: August 3, 2024; Accepted: August 16, 2024; Published: August 23, 2024

How to cite this article: Shikha Bhardwaj and Rajeev Kumar, Stochastic analysis of a model on liver disease considering liver transplantation, JP Journal of Biostatistics 24(3) (2024), 449-472. https://doi.org/10.17654/0973514324025

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

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