多重填补在随机干预试验研究中的应用

Applying Multiple Imputation to Account for Missing Data in the Analysis of a Randomized Intervention Trial

目的利用多重填补方法实现对含缺失值的随机干预试验进行分析。方法结合心理干预试验研究数据,利用SAS程序PROCMI和PROCMIANALYZE实现缺失数据的填补,应用稳健协方差分析评价心理健康干预效果。结果填补与未填补分析结果一致,心理健康指标在干预组和对照组差别均无统计学意义,但CBO结局与干预有交互作用。结论干预对学生心理健康起到一定的作用,但差别无统计学意义。

Objective Applying multiple imputation to impute missing values when analyzing a randomized intervention trial.Methods Used the SAS procedures PROC MI and PROC MIANALYZE to impute the missing data,and estimated the effect of the psychological intervention using robust analysis of covariance.Results The overall conclusions did not change after imputed the missing data.There were no significant differences in the mental health measures between the intervention and control groups,but there was a significant interaction between intervention and the CBO outcome.Conclusion Although the psychological intervention produced some positive effects on the students,the differences in general did not reach statistical significance.