January 15, 2016BMJ443 citationsOpen Access
Inverse probability weighting
Key Points
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Abstract
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.
Cite This Study
Mansournia et al. (2016) studied this question.