![]() ![]() The paper compares performance of Nonmem estimation methods-first order conditional estimation with interaction (FOCEI), iterative two stage (ITS), Monte Carlo importance sampling (IMP), importance sampling assisted by mode a posteriori (IMPMAP), stochastic approximation expectation–maximization (SAEM), and Markov chain Monte Carlo Bayesian (BAYES), on the simulated examples of a monoclonal antibody with target-mediated drug disposition (TMDD), demonstrates how optimization of the estimation options improves performance, and compares standard errors of Nonmem parameter estimates with those predicted by PFIM 3.2 optimal design software. Gibiansky, Leonid Gibiansky, Ekaterina Bauer, Robert ![]() ![]() Comparison of Nonmem 7.2 estimation methods and parallel processing efficiency on a target-mediated drug disposition model Comparison of Nonmem 7.2 estimation methods and parallel processing efficiency on a. ![]()
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