Comput Methods Programs Biomed - Monte Carlo simulation of parameter confidence intervals for non-linear regression analysis of biological data using Microsoft Excel.

Tópicos

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Resumo

This study describes a method to obtain parameter confidence intervals from the fitting of non-linear functions to experimental data, using the SOLVER and Analysis ToolPaK Add-In of the Microsoft Excel spreadsheet. Previously we have shown that Excel can fit complex multiple functions to biological data, obtaining values equivalent to those returned by more specialized statistical or mathematical software. However, a disadvantage of using the Excel method was the inability to return confidence intervals for the computed parameters or the correlations between them. Using a simple Monte-Carlo procedure within the Excel spreadsheet (without recourse to programming), SOLVER can provide parameter estimates (up to 200 at a time) for multiple 'virtual' data sets, from which the required confidence intervals and correlation coefficients can be obtained. The general utility of the method is exemplified by applying it to the analysis of the growth of Listeria monocytogenes, the growth inhibition of Pseudomonas aeruginosa by chlorhexidine and the further analysis of the electrophysiological data from the compound action potential of the rodent optic nerve.

Resumo Limpo

studi describ method obtain paramet confid interv fit nonlinear function experiment data use solver analysi toolpak addin microsoft excel spreadsheet previous shown excel can fit complex multipl function biolog data obtain valu equival return special statist mathemat softwar howev disadvantag use excel method inabl return confid interv comput paramet correl use simpl montecarlo procedur within excel spreadsheet without recours program solver can provid paramet estim time multipl virtual data set requir confid interv correl coeffici can obtain general util method exemplifi appli analysi growth listeria monocytogen growth inhibit pseudomona aeruginosa chlorhexidin analysi electrophysiolog data compound action potenti rodent optic nerv

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