Real data experience of NONMEM 7.2 estimation methods with TMDD models

Introduction Target-mediated drug disposition (TMDD) models are increasingly used to describe drug-target interactions. In practice, however, their use can come with long running times and convergence problems in NONMEM. Gibiansky et al., have previously used simulated data to investigate the accuracy and parallel processing efficiency of TMDD models with NONMEM 7.2.0 estimation methods1. They found all methods except BAYES gave accurate parameter estimates, accurate standard error estimates, and high (>85%) parallel processing efficiency.