Nonlinear Mixed Effects Models: Case Studies

Summary

These examples were meant to illustrate the process that modelers go through in developing models: data clean-up, model building, model evaluation, how to use a model once one is developed, etc. Some models can be developed quite simply. Others are quite complex. Are these the best models? Probably not. But the models that were developed were adequate to reach the desired goal. It is important before a project is tackled to identify the goal and see what is the quickest way to get there. It does no one any good for a modeler who presents too complex a model when a simpler one can be used instead.