HIV antiviral statistical analysis method based on Bayesian model

Abstract

The invention discloses an HIV antiviral statistical analysis method based on a Bayesian model. The method comprises the following steps: constructing a partial linear model under a Bayesian quantileregression method according to a collected data set, and acquiring clinical indexes closely related to disease progression; constructing a hierarchical change point model under a finite hybrid framework according to the data set; and performing posteriori simulation on the hierarchical change point model under the finite hybrid framework to obtain joint posteriori distribution of the observation data. According to the method, a hierarchical change point finite hybrid model taking CD4 cell counting as a response variable is established, so that the heterogeneity presented by CD4 cell mean valuetrajectories among different individuals after treatment can be reasonably described, and the relationship between the drug curative effect and time is further explored; and based on the model, intervention treatment schemes suitable for anti-HIV virus treatment of different individuals can be developed, and research on a clinical diagnosis and treatment scheme cost effect evaluation model is carried out.

Description

technical field [0001] The invention relates to the application field of HIV antiviral data analysis, in particular to an HIV antiviral statistical analysis method based on a Bayesian model. Background technique [0002] At present, the AIDS epidemic has become one of the most important problems affecting the development of human society and economy. AIDS is Acquired Immunodeficiency Syndrome (AIDS), which is a serious infectious disease caused by Human Immunodeficiency Virus (HIV). The virus specifically invades CD4 lymphocytes (abbreviated as CD4 cells), resulting in impaired cellular immune function of the body. Clinically, the initial manifestation is asymptomatic viral infection, and then develops into persistent systemic lymphadenopathy syndrome and AIDS-related syndrome, and finally complicated with various serious opportunistic infections and malignant tumors, with a high mortality rate. [0003] As the first city in China to implement reform and opening up, Shenzh...

AI Technical Summary

Problems solved by technology

All in all, the AIDS epidemic in Shenzhen has shown the characteristics of wide source of cases in recent years, different distribution of cases, rapid growth of the epidemic, high prevalence among specific groups of people, and continuous spread from high-risk groups to the general population. The prevention and control work has brought great challenges and problems

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