缺失值处理方法探索:基于个体水平数据的卫生经济学评价

Exploring the Missing Data in Health Economic Evaluations:Health Economic Evaluation Based on Individual Level Data

目的:文章系统探讨基于个体水平数据的卫生经济学评价中缺失值的系列问题,为实际研究中正确处理和报告缺失值提供参考。方法:在回顾一般缺失值问题的基础上,梳理基于个体水平数据的卫生经济学评价中数据缺失的原因、类型和处理方法等。结果:多重插补法是缺失值处理方法最常见的方法,在使用该方法时要注意合理选择插补具体方法、插补建模类型和插补模型的变量。结论:当前卫生经济学评价中关于缺失值的处理和报告还未形成已达成共识的质量规范,有待未来进一步探索。

Objective:To systematically explore a series of issues related to missing data in health economics evaluation based on individual level data,providing references for correctly handling missing data in practical research.Methods:Based on reviewing the basic of missing data,it summarized the causes,types,and handling methods of missing data in health economics evaluation based on individual level data.Results:Multiple-imputation is the most common method for handling missing data.In the application of the method,care should be taken to choose the specific method of interpolation,the type of interpolation modelling and the variables of the interpolation model wisely.Conclusion:There is no universal agreement quality standard for the handling and reporting of missing data in health economic evaluation,which needs to be further explored in the future.