SCM forward inclusion checks

Hello, I am unable to get in touch with [email protected] in order to join the network, therefore I am attempting to directly reach out to you, as I have a question that I would like to post to the nmusers list. I have written it down below. Thank you, Kind regards, Mélanie Karlsen Hello nmusers, I am currently working on automating the checks performed at each step of the SCM forward inclusion pass. This requires setting up precise quantitative thresholds. Once a candidate relationship has been identified to be included in the model based on its LRT p-value, what is your strategy in order to confirm covariate inclusion before moving to the next forward inclusion step? Namely: 1. What threshold of omega decrease do you use for the omega on which the covariate is included? If omegas of other parameters increase or decrease, does this impact your decision? And if yes, how? (i.e what threshold do you use?) 2. All other quantitative checks that you might perform on: - the epsilon or residuals - the extent of the covariate effect on the PK parameter - other (please specify) Thank you very much for your help. Kind regards, Mélanie Karlsen PhD student @ LIRMM / Sanofi (Montpellier, France)