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Linear regression models assessing the impact of combination of assay conditions on the MFI quantification range.

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https://figshare.com/articles/dataset/Linear_regression_models_assessing_the_impact_of_combination_of_assay_conditions_on_the_MFI_quantification_range_/6731936
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Regression coefficients and p-values for one and two factors, all dilutions and antigens included. Bead coupling performed once at the beginning (stock) or three times along the study (several); Sample predilution, prepared at once (stock) or daily (daily); Sample-bead incubation temperature at 22°C or 37°C; Plate washing in an automated washer (automatic) or manually (manual); and Operator expertise, Apprentice or Expert. Regression models for positive control, 2 conditions, 8 dilutions and 7 antigens (N = 112). P-values adjusted for multiple testing by Benjamini & Hochberg (p-Adj). Significant p-values are shown in bold.
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2018-07-02
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