Literature DB >> 8058641

NM-Win: a personal computer-based Microsoft Windows front-end to NONMEM IV.

J P Vielhaber1, J S Barrett.   

Abstract

A Microsoft Windows-based front-end, NM-Win, has been written to provide a more user-friendly environment to do nonlinear mixed effect modeling with the NONMEM program. NM-Win utilizes an object-oriented interface design which allows users to view and edit control, PRED, and/or data files using Windows Notepad. In addition, calls made to the Microsoft FORTRAN compiler and linker which generate the final NONMEN executable are performed simply by clicking the "Run NONMEN" button. During the executive step, interactions can be viewed in a window to check the progress of the run. Errors encountered while NONMEN or NM-TRAN is running are brought to a window for ease in debugging. Advanced options allow the user the flexibility of compiling user-written PRED files and creating linker response files. While the PC platform is not optimal for large data set or complex models, it does permit easier debugging and offers multitasking while Windows is running.

Entities:  

Mesh:

Year:  1994        PMID: 8058641     DOI: 10.1023/a:1018980313895

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  6 in total

1.  Mixed-effects nonlinear regression for unbalanced repeated measures.

Authors:  E F Vonesh; R L Carter
Journal:  Biometrics       Date:  1992-03       Impact factor: 2.571

2.  Monte Carlo estimation of variance component models for large complex pedigrees.

Authors:  S W Guo; E A Thompson
Journal:  IMA J Math Appl Med Biol       Date:  1991

3.  Nonparametric maximum likelihood estimation for population pharmacokinetics, with application to cyclosporine.

Authors:  A Mallet; F Mentré; J L Steimer; F Lokiec
Journal:  J Pharmacokinet Biopharm       Date:  1988-06

4.  NONMEM version III implementation on a VAX 9000: a DCL procedure for single-step execution and the unrealized advantage of a vectorizing FORTRAN compiler.

Authors:  J P Vielhaber; J V Kuhlman; J S Barrett
Journal:  Comput Methods Programs Biomed       Date:  1993-06       Impact factor: 5.428

5.  A Bayesian approach to nonlinear random effects models.

Authors:  A Racine-Poon
Journal:  Biometrics       Date:  1985-12       Impact factor: 2.571

6.  Population pharmacokinetics of gentamicin. Use of the nonparametric expectation maximisation (NPEM) algorithm.

Authors:  D F Kisor; S M Watling; B J Zarowitz; R W Jelliffe
Journal:  Clin Pharmacokinet       Date:  1992-07       Impact factor: 6.447

  6 in total
  1 in total

1.  An Algorithm and R Program for Fitting and Simulation of Pharmacokinetic and Pharmacodynamic Data.

Authors:  Jijie Li; Kewei Yan; Lisha Hou; Xudong Du; Ping Zhu; Li Zheng; Cairong Zhu
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-06       Impact factor: 2.441

  1 in total

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