STATISTICS NOTES Inverse probability weighting
STATISTICS NOTES Inverse probability weighting
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DOI：
10.1136/bmj.i189
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发表时间：
2016-01-15
影响因子：
105.7
通讯作者：
Altman, Douglas G.
中科院分区：
文献类型：
--
作者：
Mansournia, Mohammad Ali;Altman, Douglas G.
统计分析通常把所有的观察结果视为同等重要。然而，在某些情况下，适当的做法是改变给予不同意见的权重。众所周知的例子是在荟萃分析中，其中给予每个贡献研究的逆方差（精度）权重不同，以及在聚类数据的分析中。1
Statistical analysis usually treats all observations as equally important. In some circumstances, however, it is appropriate to vary the weight given to different observations. Well known examples are in meta-analysis, where the inverse variance (precision) weight given to each contributing study varies, and in the analysis of clustered data. 1