The diagram shows the workflow executed by the nmfe74 script. Relationship between NM‐TRAN, NONMEM, and PREDPP. NONMEM is a general program that can be used to fit models to a wide variety of data. This mixed effects modeling is especially useful when there are only a few measurements from each individual sampled in the population or when the data collection design varies considerably between these individuals. The proper modeling of these data involves accounting for both unexplainable between‐subject (interindividual) and within‐subject (intraindividual) variability via random effects as well as PK and PD parameters and subject factors via fixed effects terms. The PK/PD data are typically collected from clinical studies of pharmaceutics agents involving the administration of a drug to individuals and the subsequent observation of drug, metabolite, and/or biomarker levels (most often in the blood, plasma, or urine) as well as clinical outcome measures. Its continued development and improvement assure that they may continue to use the analysis tool with which they are familiar for present‐day pharmaceutical development.
NONMEM SCRIPT EXAMPLE SOFTWARE
The NONMEM software was originally developed by Lewis Sheiner and Stuart Beal and the NONMEM Project Group at the University of California and has been used for more than 30 years for population analysis by many pharmaceutical companies and the PK/PD modeling community. The development and application of PK/PD models by pharmaceutical scientists using the appropriate statistical methodology can provide a basis for determining optimal dosing strategies for their products and increases their understanding of drug mechanisms and interactions. 1 It solves pharmaceutical statistical problems in which within‐subject and between‐subjects variability is taken into account when fitting a pharmacokinetic and/or pharmacodynamic (PK/PD) model to data. NONMEM is a computer program that is implemented in Fortran90/95. NONMEM stands for NONlinear Mixed Effects Modeling.