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Related Experiment Videos

Software for population pharmacokinetics and pharmacodynamics.

L Aarons1

  • 1School of Pharmacy and Pharmaceutical Sciences, University of Manchester, England. l.aarons@man.ac.uk

Clinical Pharmacokinetics
|May 13, 1999
PubMed
Summary

Nonlinear mixed effects modeling is crucial for drug development with sparse data. This review surveys available software, categorizing it and highlighting active development in population data analysis tools.

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Area of Science:

  • Pharmacology
  • Biostatistics
  • Drug Development

Background:

  • Pharmacokinetic-pharmacodynamic (PK/PD) modeling is essential in drug development.
  • Sparse data in Phase III clinical trials necessitates advanced analytical approaches like nonlinear mixed effects modeling.
  • Specialized software and analytical techniques are required for analyzing such complex datasets.

Purpose of the Study:

  • To review and categorize available software for nonlinear mixed effects modeling.
  • To assess the current landscape of software tools used in population data analysis for drug development.

Main Methods:

  • A questionnaire was distributed to software producers specializing in nonlinear mixed effects modeling.
  • Software findings were analyzed and categorized based on their methodologies and implementation.
  • The review focused on software available for population data analysis.

Main Results:

  • Software was grouped into three main categories: parametric and nonparametric maximum likelihood, and Bayesian.
  • Significant ongoing development was observed in software for population data analysis.
  • Implementation varied widely, with some packages being standalone and others integrated into statistical software.

Conclusions:

  • The field of software development for population data analysis is highly active.
  • Software packages differ in their implementation, ease of use, and producer support.
  • Continued development suggests a growing need for robust nonlinear mixed effects modeling tools in drug development.

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