Dear all,
I am using Fisher r to z transformation for pooling partial correlation
estimates over multiple imputed data (number of imputations = 200). The number
of observations in my data is 190. Unfortunately, when i calculate p values for
the pooled estimates, some of them are p > 1 (ranging
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 u
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