NONMEM V7.5

The gold standard software in Population Pharmacokinetic and Pharmacokinetic-Pharmacodynamic modelli

NONMEM itself, the basic and very general nonlinear regression programme.

PREDPP - a powerful package of subroutines handling population PK data as well as general linear and nonlinear models, which can free the user from coding standard knetic type equations while simultaneously allowing complicated patient-type data to be easily analysed.

NM-TRAN - a preprocessor allowing control and other needed inputs to be specified in a user-friendly manner. Both NONMEM and NM-TRAN are batch type programmes.

NONMEM 7.5

The latest release of NONMEM includes these enhancements and more.

1. Population analysis methods available for handling a variety of PK/PD population analysis problems:

First Order Conditional Estimation (FOCE)

Laplace Conditional Estimation

Iterative Two Stage (ITS)

Importance Sampling Expectation-Maximization (IMP)

Stochastic Approximation Expectation-Maximization (SAEM)

Markov-Chain Monte Carlo Bayesian Analysis (BAYES, NUTS)

2. Parallel computing of a single problem over multiple cores or computers, for estimation, covariance assessment, simulation, nonparametric analysis and posthoc parameter and weighted residual diagnostic evaluation, significantly reducing completion time

3. Increased efficiency of dynamic memory allocation to handle very large problems, eliminating the need to recompile the NONMEM® program for unusually large problems

Additional features, some new to NONMEM 7.5, include:

Model multiple mixed effects levels, with random effects across groups of individuals such as clinical site

Solve ordinary differential equations (ODE) and differential algebraic equations (DAE) with algorithms such as LSODA, LSODI1, CVODES and IDAS

Solve delay differential equations (DDE) with algorithms such as RADAR5 (for stiff equations) and DDE_SOLVER (for non-stiff equations)

Evaluate and optimize clinical trial designs

Import Variance-covariance of estimates from any source as text files for TNPRI problems

Output user-defined parameters with their standard errors