Missing value processing method based on multiple fill method and guided by Markov Chain Monte Carlo (MCMC) simulation under Meta analysis numerical value missing state
A technology of missing value and filling method, which is applied in the field of medical statistics to achieve the effect of ensuring integrity and improving statistical efficiency
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[0007] Concrete method of the present invention consists of the following examples and its accompanying figure 1 give.
[0008] attached figure 1 It is a flow chart of the method for MCMC simulation-oriented missing value processing based on multiple imputation methods under the condition of missing values in Meta analysis proposed by the present invention. Combine below figure 1 The specific method proposed according to the present invention will be described in detail.
[0009] (1) The Markov Monte Carlo (MCMC)-oriented multiple imputation method mainly includes three key steps: estimating the target estimator (that is, an estimate of the research variable), embedding the value of the imputation, creating a complete data set (i.e., mainly completes the estimation of the offset value), and combines the estimation results of the target estimator. Among them, the estimation of the supplementary value of the missing data is the key to the estimation of the target estimator...
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