结论多重填补与多重填补分析为处理存在缺失数据的资料提供了有效的策略。
Conclusion mi and MIANALYZE procedures provide a valid strategy for handling data set with missing values.
方法用MI对缺失数据进行填补，用标准的统计程序对填补后的数据集分析，最后用多重填补分析综合各个数据集的统计分析结果。
Methods Using MI to fill in missing data and analyzing the multiply imputed data sets with standard statistical procedure, then combining the statistical inferences with MIANALYZE procedure.
方法用MI对缺失数据进行填补，用标准的统计程序对填补后的数据集分析，最后用多重填补分析综合各个数据集的统计分析结果。
Methods Using MI to fill in missing data and analyzing the multiply imputed data sets with standard statistical procedure, then combining the statistical inferences with MIANALYZE procedure.
应用推荐