Abstract: n the model-based cost-effectiveness analysis， it′s necessary to do the probabilistic sensitivity analysis by setting the assumed distribution of related parameters in order to verify the robustness of the model results. If there is a certain correlation between parameters， those parameters are needed to be corrected to make sure the accuracy of the results of the probabilistic sensitivity analysis. Based on the theory， this study discusses the necessity of correlating parameters correction in the economic evaluation combined with the actual case analysis， providing a relatively complete process of how to obtain the corrected transition probability from the survival curve. Also， this article provides the relevant calculation formula to help reader understand and practice easier. The variance-covariance matrix of the parameters is obtained by Stata， and the regression parameters are corrected by Cholesky decomposition using Microsoft Excel. Finally， the transition probability of the Markov model in the probability sensitivity analysis is obtained. This article will help to improve guidance and support in economic evaluation and develop a more standardized sensitivity analysis process for researchers in the future.