多级多会员数据匹配
我正在设计一项多层次研究，其中我的数据具有嵌套和多个会员结构。受试者是V1的多个成员，也嵌套在V2中。受试者全部从一年开始。应用匹配或加权时，我应该考虑多个会员资格吗？如果是，问题将是如何？还是我应该在不考虑的情况下应用匹配，然后在匹配的输出上运行多个会员多级回归？
I am designing a within multi-level study in which my data has both nested and multiple-membership structure. The subjects are multimembers of V1 and also are nested in V2.The subjects are all from one year. When applying matching or weighting, should I take the multiple membership into account? if yes, the question would be how? or should I apply matching without taking it into account and then run a multiple membership multi-level regression on the output from matching?
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如果不了解更多关于您的具体用例的信息，就很难推荐特定的来源。但请查看“跨分类多级分析”。我想这就是你所指的。
Without knowing more about your concrete use case, it's hard to recommend specific sources. But check out "cross-classified multilevel analysis". I think that's what you're referring to.