![]() The new CLSI EP6-Ed2 protocol no longer requires fitting polynomial models to determine linearity. Nonlinearity could then be compared against allowable nonlinearity criteria. ![]() The degree of nonlinearity was then calculated as the difference between the linear fit and the best fitting non-linear model (parabolic or sigmoidal curves). A method was then determined to be linear or possibly non-linear based on statistical criteria. The CLSI recently released guideline, which replaces the EP06-A published in 2003.ĮP06-A relied on fitting a linear (straight line), 2 nd (parabolic) and 3 rd (sigmoidal) order polynomials to the data. If maintenance on your license has expired you can renew it to get this update and forthcoming updates, see. If you have you can download and install the update now, see or visit the. Recently we’ve been busy updating Analyse-it to stay aligned with the latest updates to the CLSI protocols, and added a new inverse prediction feature.
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