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PubMed · 1526002

Multivariate statistical modeling: alternative approach to test evaluation, applied to counting reticulocytes by flow cytometry.

W P Oosterhuis·A H Zwinderman·T A Modderman·R B Dinkelaar·H J van der Helm
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Abstract

We present a statistical path analysis model for the evaluation of two tests in the absence of a "gold standard" method. This model is applied to the evaluation of flow-cytometric and visual reticulocyte counting by using as the comparison method a combination of three hematological measurements: hemoglobin concentration (HGB), mean cellular volume (MCV), and erythrocyte density width (EDW). We assumed that, in general, a higher reticulocyte count is associated with a lower HGB value and with greater values for MCV and EDW. Applying this assumption and the statistical model, we demonstrated that flow cytometry was superior to visual reticulocyte counting in the low-value range studied. The path analysis model is potentially applicable in other cases where two tests are to be compared, and when no gold standard is available.

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Erythrocyte CountEvaluation Studies as TopicFlow CytometryHemoglobinsHumansModels, StatisticalMultivariate AnalysisReticulocytesComparative StudyJournal Article

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W P Oosterhuis, A H Zwinderman, T A Modderman, R B Dinkelaar, H J van der Helm. 1992. Multivariate statistical modeling: alternative approach to test evaluation, applied to counting reticulocytes by flow cytometry.. https://pubmed.ncbi.nlm.nih.gov/1526002/

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