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Peering into the Dynamics of Social Interactions: Measuring Play Fighting in Rats
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Published on: January 18, 2013

Kerfuffle!

Thaddeus H Grasela1, Elizabeth Ludwig, Jill Fiedler-Kelly

  • 1Cognigen Corporation, 395 Youngs Road, Buffalo, NY 14221, USA.

Journal of Clinical Pharmacology
|March 26, 2009
PubMed
Summary
This summary is machine-generated.

Modeling and simulation efforts can lead to cascading errors, termed kerfuffles. This article identifies common pharmacometric kerfuffles and proposes systematic approaches for their mitigation.

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Area of Science:

  • Pharmacometrics
  • Computational Science
  • Error Analysis

Background:

  • Complex modeling and simulation projects are prone to errors.
  • These errors can cascade, leading to significant impacts on project outcomes.
  • Understanding these error cascades, or 'kerfuffles,' is crucial for effective project management.

Purpose of the Study:

  • To identify and describe common 'kerfuffles' encountered in pharmacometric modeling and simulation.
  • To emphasize the need for systematic approaches to address these errors.
  • To provide a framework for minimizing the impact of cascading errors in scientific workflows.

Main Methods:

  • Qualitative analysis of common errors in pharmacometric modeling.
  • Descriptive approach to categorizing error cascades.
  • Discussion of systematic error management strategies.

Main Results:

  • Identification of specific types of cascading errors in pharmacometric workflows.
  • Demonstration of how minor issues can escalate into major problems.
  • Highlighting the importance of proactive and systematic error recognition and correction.

Conclusions:

  • Pharmacometric kerfuffles are predictable and manageable.
  • Systematic error identification and mitigation are essential for reliable modeling and simulation.
  • Addressing errors proactively improves the integrity and efficiency of scientific research.