As decisions in drug development increasingly rely on predictions from mechanistic systems
models, assessing the predictive capability of such models is becoming more important …

Parameter identifiability methods assess whether the parameters of a model are uniquely
determined by the observations. While the success of a model fit can provide some …

In pharmacometric modeling, it is often important to know whether the data is sufficiently rich
to identify the parameters of a proposed model. While it may be possible to assess this …