HMisc::transcan() vs FMIL missing data technique

1

Hi Professor Harrell

I find that some simulation work shows that Full Information Maximum Likelikhood (FIML) may offer better estimation than multiple imputation. It works even if there are missing values in dependent/response variable. I find not find reading about comparing Hmisc::transcan() with FIML. May one give me some suggestion to know more about them… Thank you very much for your help.

Best wishes

Sandro

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Please copy this as a last reply to datamethods.org/rms3 and I’ll answer it there