Sanz, Hector J. Aponte, John Harezlak, Jaroslaw Dong, Yan Ayestaran, Aintzane Nhabomba, Augusto Mpina, Maxmillian Maurin, Obiang Régis Díez-Padrisa, Núria Aguilar, Ruth Moncunill, Gemma Todagbe, Agnandij Selidji Daubenberger, Claudia Dobaño, Carlota Valim, Clarissa Standardized residuals as a function of the predicted base 10 logarithm median fluorescence intensity (MFI) for the four emulated datasets based on standard curves fitted after outliers were flagged and using the four different approaches to treat background noise. <p>Points outside of the range specified by the dashed lines are in red and labeled according to the well location in the 96-well plate. (A) Standard curve fitted using “Ignore” background noise method; (B) standard curve fitted including the background noise as an extra point when fitting the curve, using “Include” background method; (C) standard curve fitted subtracting the background noise using the “Subtract” method; (D) standard curve fitted constraining the lower asymptote to the background noise using the “Constraint” method.</p> quality control;Suboptimal calibration;fitness;RTS;method;malaria;vaccine;multiplex bead-based immunoassays data analysis Multiplex bead-based immunoassays;background noise;multiplex bead-based immunoassay;estimation;function;SC;Phase 3 randomized;sample;quantification;analyte;concentration;drLumi;conduct quality control 2017-11-14
    https://plos.figshare.com/articles/figure/Standardized_residuals_as_a_function_of_the_predicted_base_10_logarithm_median_fluorescence_intensity_MFI_for_the_four_emulated_datasets_based_on_standard_curves_fitted_after_outliers_were_flagged_and_using_the_four_different_approaches_to_treat_backgroun/5600731
10.1371/journal.pone.0187901.g008