NONMEM

Source: Wikipedia, the free encyclopedia.

NONMEM is a

PK/PD models.[1][2][3][4]
NONMEM models are written in NMTRAN, a dedicated
FORTRAN, compiled on the fly and executed by a command-line script. Results are presented as text output files including tables.[5] There are multiple interfaces to assist modelers with housekeeping of files, tracking of model development, goodness-of-fit evaluations and graphical output, such as PsN and xpose[6] and Wings for NONMEM.[7]
Current version for NONMEM is 7.5.

Model estimation

NONMEM estimates its models according to principles of maximum likelihood estimation. nonlinear mixed-effects model generally do not have close-formed solutions, and therefore specific estimation methods are applied, such as linearization methods as first-order (FO), first-order conditional (FOCE) or the laplacian (LAPL), approximation methods such as iterative-two stage (ITS), importance sampling (IMP), stochastic approximation estimation (SAEM) or direct sampling.[8]

References

  1. S2CID 28622472
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  2. .
  3. .
  4. .
  5. .
  6. ^ "PsN :: Home". uupharmacometrics.github.io. Retrieved 2022-05-09.
  7. ^ "Wings for NONMEM". wfn.sourceforge.net. Retrieved 2022-05-09.
  8. PMID 31044558
    .

External links

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