Population Analysis of Complex Multidimensional Responses Using Phoenix NLME

During this webinar, Dr. Serge Guzy demonstrated how Phoenix NLME’s unique interface facilitates a whole new way of thinking about Pop PK/PD that is well-suited to both beginning and advanced modelers. He also highlighted Phoenix NLME’s robust optimization engines, including the recent updates to the QRPEM engine.

The webinar showed how easy Phoenix NLME makes validation of model results through visual predictive checks for both continuous and categorical reposes. Finally, he demonstrated how to simulate optimally designed future clinical trials with an emphasis on how simple Phoenix NLME makes simulation of multi-dimensional and mixed response (continuous and categorical) trials.