I am currently attempting to pool results from a repeated measures ANCOVA using a multiple imputation database. I recently read on this site that F-values can be pooled using the mi.combine function in R as such

    Fvalues <- c( 6.76, 4.54, 4.23, 5.45, 4.78 )
    micombine.F(Fvalues, df1=4 )
      ##  Combination of Chi Square Statistics for Multiply Imputed Data
      ##  Using 5 Imputed Data Sets
      ##  F(4, 52.94)=3.946     p=0.00709

However, I was recently questioned on whether this function is suitable for use with a repeated measures analysis. Any guidance would be appreciated.

  • $\begingroup$ Why do you want to combine F statistics? $\endgroup$ – user2974951 Aug 13 at 9:49

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