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Related Experiment Videos

Nonlinear regression using spreadsheets

W P Bowen1, J C Jerman

  • 1Department of Neuroscience, SmithKline Beecham Pharmaceuticals, Harlow, UK.

Trends in Pharmacological Sciences
|December 1, 1995
PubMed
Summary
This summary is machine-generated.

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Pharmacologists can now perform nonlinear regression analysis using accessible spreadsheet software, avoiding costly specialized programs. This method enables automated data analysis for experimental effects and theoretical model fitting.

Area of Science:

  • Pharmacology
  • Computational Biology
  • Biostatistics

Background:

  • Pharmacologists frequently analyze nonlinear experimental data by fitting it to theoretical models.
  • Specialized software for nonlinear regression analysis can be expensive and inaccessible for diverse research needs.

Purpose of the Study:

  • To present a cost-effective and accessible method for nonlinear regression analysis.
  • To demonstrate the application of spreadsheet software for automated pharmacological data analysis.

Main Methods:

  • A generic method for performing nonlinear regression using standard spreadsheet applications was developed.
  • The approach was demonstrated to create automated data analysis systems.

Main Results:

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  • Spreadsheet applications can effectively perform nonlinear regression analysis.
  • The developed method allows for the automation of data analysis in pharmacological research.

Conclusions:

  • A practical and economical approach to nonlinear regression analysis is now available to pharmacologists.
  • Spreadsheet-based automation can streamline data analysis, enhancing research efficiency and accessibility.