![]() NM-TRAN is (non-interactive) preprocessor, allowing control and other needed inputs to NONMEM/PREDPP to be specified in a user friendly manner, with quick and comprehensive detection of a variety of errors that the user may have made in so doing. ![]() ![]() However, the user can also directly and very generally code prediction-type, likelihood or -2 log-likelihood equations, and thus a great variety of different types of models can be used. Use of PREDPP obviates the need for the user to code kinetic-type equations and it also allows complicated patient-type data to be easily used. PREDPP is a powerful package of subroutines that can be used by NONMEM® to compute predictions for population pharmacokinetic and pharmacodynamic data. NONMEM® can be used to simulate data as well as fit data. Among the many software packages used in PM analysis, NONMEM 1 is still accepted as the gold standard, although the user interface is not as good as other software and it has a steep learning curve. With version 7, Monte Carlo expectation-maximization and Markov Chain Monte Carlo Bayesian methods have been added to the classical likelihood methods available in previous versions. Introduction One of most important steps in pharmacometric (PM) analysis is simulation of various scenarios. The NONMEM® program itself is a very general (non-interactive) model analysis program that can be used to fit models to many different types of data. The software consists of three parts: The NONMEM® Program
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