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Bayesian logic in statistical test control: application to coagulation factor VIII assay. | LitMetric

AI Article Synopsis

  • - The study evaluated coagulation factor VIII levels around 80 U/dl, which is crucial for managing bleeding in hemophiliac patients, using Bayesian logic for better internal quality control during reagent changes.
  • - A mathematical model using Bayesian inference was compared to traditional methods that require an initial control phase to assess quality control results.
  • - The Bayesian approach, proposed by Tsiamyrtzis and Hawkins, effectively detected shifts in factor VIII assay results without the need for expensive preliminary controls, demonstrating efficiency similar to conventional methods.

Article Abstract

Coagulation factor VIII was assayed around the critical concentration of 80 U/dl, which is optimal for postoperative haemostasis in haemophiliac patients, in order to assess the use of Bayesian logic in interpreting internal quality control results during a change of reagent or control batch. A mathematical model based on Bayesian inference, requiring no preliminary control-plan phase, was compared with a classical approach, which necessarily involves performing a preliminary phase. Tsiamyrtzis and Hawkins' Bayesian model proved applicable to rapid statistical control of factor VIII assay, detecting shift at least as efficiently as classical approaches, which depend on running the kind of costly and controversial preliminary control phase recommended by Shewhart.

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Source
http://dx.doi.org/10.1097/MBC.0b013e328335d04dDOI Listing

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