Dear Stata team,

I've carried out multiple imputation for 3 covariate variables and 5 outcome variables in the longitudinal data. I understand we cannot estimate likelihood-based approaches such as AIC and BIC for our multiply imputed data to choose best fitting model. In the following recently published paper, they recommend using a technique to select the best fitting model in MI data: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248419/

Is there way to select best fitting model in Stata after implementing multiple imputation by MICE? Please let me know required postestimation commands after multiple imputation by MICE. Thank you!