Mathematics
3 years ago

Inverse probability weighting may not correct bias in cohort studies' attrition.

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BMC Medical Research Methodology
Inverse probability weighting to handle attrition in cohort studies: some guidance and a call for caution
Marie‐Astrid Metten, Nathalie Costet, Luc Multigner, Jean‐François Viel, Guillaume Chauvet

Paper Summary

The researchers looked at a method called inverse probability weighting to fix problems with missing data in studies. They compared this method to a simpler one called complete-case analysis. The results showed that inverse probability weighting was not as good at fixing bias and was less efficient in all scenarios they tested. They found that the best way to use this method is to only include certain variables in the model.

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