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Linear regression models assessing the impact of combination of assay conditions on assay variability (log10MAD of log10MFI).

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Figshare2018-07-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Linear_regression_models_assessing_the_impact_of_combination_of_assay_conditions_on_assay_variability_log_sub_10_sub_MAD_of_log_sub_10_sub_MFI_/6731915
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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 of the study (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. A) Positive control, 2 conditions, 8 dilutions and 7 antigens (N = 112); B) Subject samples, 2 conditions, 4 dilutions and 7 antigens (N = 56) and C) Multiplex blanks, 2 conditions and 7 antigen (N = 14). 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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