Table 1.xls (5.5 kB)
Comparison of automatically generated results provided by the package before/after flagging outliers for the Subtract background method for the simulated analytes.
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posted on 2017-11-14, 18:41 authored by Hector Sanz, John J. Aponte, Jaroslaw Harezlak, Yan Dong, Aintzane Ayestaran, Augusto Nhabomba, Maxmillian Mpina, Obiang Régis Maurin, Núria Díez-Padrisa, Ruth Aguilar, Gemma Moncunill, Agnandij Selidji Todagbe, Claudia Daubenberger, Carlota Dobaño, Clarissa ValimIn Analyte 1 no outliers and no missing values were included, in Analyte 2 seven missing values were included, in Analyte 3 one outlier and seven missing values were included and in Analyte 4 two outliers were included in the original simulated data. Only in Analyte 4 outliers were flagged by the package and their removal changed results. For Analyte 4, the limits of quantification for the coefficient of variation method could not be estimated with all data due to the fact that the minimum coefficient of variation value was larger than the specified 30% cutoff.
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quality controlSuboptimal calibrationfitnessRTSmethodmalariavaccinemultiplex bead-based immunoassays data analysis Multiplex bead-based immunoassaysbackground noisemultiplex bead-based immunoassayestimationfunctionSCPhase 3 randomizedsamplequantificationanalyteconcentrationdrLumiconduct quality control
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