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 |                            NONMEM PROGRAM                       |
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 MEANING: The name of a computer program.
 CONTEXT: NONMEM input/output

 DISCUSSION:
 The acronym NONMEM denotes both a type of statistical  model  and  the
 program   used   to   analyze   data   according   to  such  a  model.
 (See nonmem_model).  This entry briefly describes the NONLINEAR  MIXED
 EFFECTS MODEL (NONMEM) program.

 NONMEM is a computer program written in FORTRAN  77  used  to  analyze
 data  according to a Non-linear Mixed Effects Model.  NONMEM is batch-
 oriented.  It is accompanied by an input preprocessor  (NM-TRAN)  that
 provides  a  SAS-like  user communication interface, and by a suite of
 subprograms (PREDPP) that, within the context of the  NONMEM  program,
 implements  most  of  the common simple pharmacokinetic models used by
 pharmacokineticists.  PREDPP also has code for solving general  linear
 and  non-linear  differential  equations  describing  more complicated
 pharmacokinetic models.

 The user generally will have to supply data and a code (either  in  an
 abbreviated  form  understood  by NM-TRAN, or in a FORTRAN subroutine)
 specifying the dependence on the mixed effects.  He will also have  to
 make  choices  regarding the NONMEM process: e.g., whether to estimate
 parameters, and if so, which of  several  estimation  methods  to  use
 (each method minimizes a different objective function).

 NONMEM output reports the minimum value  of  the  objective  function,
 parameter  estimates,  standard errors, tables, and line-printer scat-
 terplots, etc., as requested.  NONMEM computes model predictions using
 the parameter estimates, and similarly, residuals and weighted residu-
 als, and makes these available for tables and scatterplots.

 NONMEM can also easily be used to simulate data under a NONMEM model.

 (See estimate, method, parameter, parameter_estimate).
 (See objective_function, table, scatterplot).
 (See residual, weighted-residual, predpp).

REFERENCES: Guide I Section A
REFERENCES: Guide V Section 1, 2


  
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