Dear modelers, Working on a model where the observations are bound between 0 and 100. Using logit transformation in the model to account for this (I dont transform the data).
Would like to assess the model based on a VPC. Since dosing is per the physicians decision based on the observed response, I would like to generate a pred-corrected VPC using PsN. When reading the PsN userguide, it says that "*The predcorr feature will not work well if there is an upper bound, e.g. when the dependent variable is logit transformed."* Any thoughts on how to solve this would be appreciated. Would ideally like to avoid having to simulated the physicians dose decisions. Best, Matts Kagedal Genentech
