Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate-7

<p><b>Copyright information:</b></p><p>Taken from "Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate"</p><p>BMC Bioinformatics 2006;7():123-123.</p><p>Published online 9 Mar 2006</p><p>PMCID:PMC1472692.</p><p>Copyright © 2006 Motulsky and Brown; licensee BioMed Central Ltd.</p>urve, fixing the bottom plateau and slope, and fitting the top plateau and the EC. Our fear was that our method would define many points to 'outliers' and leave behind points that define a dose-response curve. That didn't happen. Our method found an outlier in only one of 1000 simulations