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Reference

Determining the Error of Dose Estimates and Minimum and Maximum Acceptable Concentrations from Assay with Nonlinear Dose-Response Curves, Gottschalk PG, Dunn JR, Computer Methods and Programs in Biomedicine, 2005; 80:204-215. (Free Reprint Available)

Statistical Assay Analysis


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Statistical Assay Analysis measures the performance of all immunoassay components: pipetting, separation, label, tracer, antibody, buffer, incubation, standards, controls, and unknowns
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StatLIA stores each acceptable assay as it’s run on StatLIA to use as a pool of historical reference assays for statistical comparisons to detect changes in reagents or incubation conditions
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The laboratory controls which assays are used as the final pool of reference assays; (unless changed by the laboratory, the first 30 acceptable assays are used by default)
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Statistical comparisons are made between each control parameter in today's assay and the same parameter in the historical reference assays
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For example, the response of each standard in today’s assay is compared to each corresponding standard’s responses in the reference assays
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A statistical comparison is made to determine whether the responses (and all other parameters) are significantly different from their corresponding parameters in the reference assays
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Some of the parameters StatLIA analyzes include standard responses, control specimen responses and concentrations, curve fit statistics, ED 20/50/80, min/max detectable concentrations, and more
   
Assays graphStandard curve graph compares the current assay’s standard curve to a standard curve computed from all of the data points in a historical set of assays (reference assays) for the same test.  The graph includes data points (boxes) from current assay, the standard curve established from the reference assays (dotted line), and 95% & 99% confidence limits based on the reference standard curve.   The graph enables labs to quickly view at a glance the reliability of today's assay.

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