Bayesian hierarchical model-based food pollutant exposure and health hazard dose response relation model establishment method

A technology of hierarchical model and reaction relationship, applied in special data processing applications, complex mathematical operations, design optimization/simulation, etc., can solve problems such as poor results

Pending Publication Date: 2022-05-06
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0002] When the original data is missing or the data sample size is too sma

Method used

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  • Bayesian hierarchical model-based food pollutant exposure and health hazard dose response relation model establishment method
  • Bayesian hierarchical model-based food pollutant exposure and health hazard dose response relation model establishment method
  • Bayesian hierarchical model-based food pollutant exposure and health hazard dose response relation model establishment method

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Embodiment Construction

[0022] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and examples are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0023] Step 1. Data Entry

[0024] Obtain experimental data by consulting the literature: pollutants at different doses d, different levels of response values ​​f(d; θ) produced by the experimental subjects. (The in vitro cell experiment used in the example: DON under different doses, the change of the cell survival rate produced)

[0025] When there are many kinds of experimental data, such as human beings, animals, microorganisms, etc., the data from different studies and different experiments should be normalized first. We used the incremental change from baseline dose as response data. The formula is as follows:

[0026]

[0027] where R i,j Denotes the i-th experiment of the j-th study, R 0,j Denotes the control ...

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Abstract

The invention relates to a Bayesian hierarchical model-based food pollutant exposure and health hazard dose response relationship model establishment method, which can effectively utilize prior information, utilize existing knowledge, combine sample data with the prior information, adjust sample distribution on the basis of the prior information, and establish a dose response relationship model of food pollutant exposure and health hazard. Posterior distribution of unknown parameters is obtained in combination with a likelihood function, so that a specific dose response relationship is obtained; based on the advantages of a Bayesian hierarchical model statistical method and the current situation that Bayesian statistics is applied to exposure evaluation in China, the method for constructing the dose reaction relation by using the Bayesian chromatography model is systematically constructed, parameters in the dose reaction relation are solved, and help is provided for follow-up research.

Description

technical field [0001] The present invention relates to the field of calculation methods for the dose-response relationship between exposure to food pollutants and health hazards, and in particular to a method for establishing a dose-response relationship model between exposure to food pollutants and health hazards based on a Bayesian hierarchical model. Background technique [0002] When the original data are missing or the data sample size is too small, the results of the traditional dose-response relationship are often poor. The method of constructing the dose-response relationship based on the Bayesian hierarchical model can more accurately make up for the shortcomings of the traditional method: the data of different studies and different species can be combined for data analysis, and the prior information can be effectively used to integrate the existing Some knowledge is used to combine the sample data with prior information, adjust the sample distribution on the basis...

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Application Information

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IPC IPC(8): G06F30/20G06F17/18
CPCG06F30/20G06F17/18
Inventor 魏晟雷志群
Owner HUAZHONG UNIV OF SCI & TECH
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