介绍分层随机抽样条件下多重插补法处理缺失数据的基本思想，分析可忽略无回答的分层随机抽样建立多重插补的常用方法，并通过实例加以说明。
The paper introduces multiple imputation (mi) for missing data in stratified random sampling, and discusses the ordinary method of mi with ignorable nonresponse, and illustrates the essential steps.
当你找到一个独一无二的答案来回答你为什么而存在时，你会感觉到它会与你产生深深的共鸣。
When you find your own unique answer to the question of why you're here, you will feel it resonate with you deeply.
我们可以无休无止的辩论错误出在哪里，而且很可能不会有正确的回答。
We can debate endlessly over what went wrong; there is probably no one correct answer.
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