▪Switch between compartment models of different complexity and fit. The parameters are either maintained for each model type, or converted, according to the Parameter conversion setting in the Extras Panel panel.
▪The results of the different fits are stored in the Model History which can be used for inspecting the results per region.
▪Check the residuals for judging model adequacy.
▪Check the different criteria on the Details tab (Schwartz Criterion SC, Akaike Information Criterion AIC, Model Selection Criterion MSC) to decide whether a more complex model is supported by the data.
▪Check for parameter identifiability. As an indicator of the parameter identifiability standard errors (%SE) are returned from the fit. They should remain limited for all relevant parameters. Additionally, Monte Carlo simulations can be performed to obtain distribution statistics of the parameter estimates.
▪If justified by physiology, try to improve the stability of parameter estimation by enforcing common parameters among regions in a Coupled fitting procedure.
▪Compare the outcome of compartment models with that of other models, such as reference models or graphical plots.