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Prognostic Factors for Evolution of Non Alcoholic Fatty Liver Disease Patients Utilizing Poisson Regression and Continuous Time Markov Chains

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posted on 12.11.2021, 17:18 by Iman Mohammed Attia Abd-Elkhalik Abo ElreeshIman Mohammed Attia Abd-Elkhalik Abo Elreesh

In this article , Poisson regression model is used to relates the rates of transition among states to the covariates .

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References

https://www.researchgate.net/publication/355781894_Prognostic_Factors_for_Evolution_of_Non_Alcoholic_Fatty_Liver_Disease_Patients_Utilizing_Poisson_Regression_and_Continuous_Time_Markov_Chains

Email Address of Submitting Author

imanattiathesis1972@gmail.com

ORCID of Submitting Author

0000-0002-7333-9713

Submitting Author's Institution

Faculty of graduate studies for statistical research

Submitting Author's Country

Egypt

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Keywords

multistate model Markov chains continuous time Markov chains Poisson regression fatty liver type 2 diabetes hypertension obesity

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