Dear all,
I have been attempting to use multiple imputation (MI) to handle missing data
in my study. I use the mice package in R for this. The deeper I get into this
process, the more I realize I first need to understand some basic concepts
which I hope you can help me with.
For example, let
Hi Tina,
That is quite a bit of missingness, especially considering the sample
size is not large to begin with. This would make me treat *any*
result cautiously. That said, if you have a reasonable idea what the
mechanism causing the missingness is or if from additional variables
in your study,
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