I am conducting a mediation analayses in R with incomplete data for my master's thesis. For the missings I use MICE multiple imputation according to van Buuren & Groothuis-Oudshoorn (2011). Unfortunately, I have only found one instruction on the internet on how to combine multiple imputation with a mediation analysis: https://jessierayebauer.github.io/Multiple-Imputation-and-Mediation-in-R/.
Are there any other ways to calculate a mediation with multiple imputation in R? For me it would be interesting to get standardized regression coefficients. Who has experience with this?
I am very greatful for every hint!
https://oar.princeton.edu/jspui/bitstream/88435/pr1gj2f/1/Mediation%20JSS.pdf
Thank you for your reply!
Unfortunately, this paper (Tingley et al, 2014) only briefly mentions how to conduct a mediation analysis after multiple imputation.
"The mediation package includes a pair of utility functions – mediations and amelidiate – to facilitate such analysis. First, users simulate multiple data sets using their preferred imputation software. Next, run mediate on each data set by simply passing the data sets through mediations. Next, pass the output of mediations to the amelidiate function, which combines the components of the output from mediations into a format that can be analyzed with the standard summary and plot commands."
Unfortunately I'm not an R expert and don't know how to write the R code concretely. Do you know if a concrete public R-code exists for it?
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