Literature DB >> 23331732

Statistical quality control procedures.

James O Westgard1.   

Abstract

The right quality control (QC) should ensure the detection of important errors. Statistical QC (SQC) should be included in all QC plans. The Clinical and Laboratory Standards Institute (CLSI) C24A3 provides guidance for the application of SQC in medical laboratories. It describes a QC planning process and provides an SQC selection tool that relates the sigma-metric of a testing process to the medically important systematic error and the rejection characteristics of different SQC procedures. Once the right SQC has been selected, the laboratory must implement SQC right. CLSI C24A3 also provides guidance for establishing run length and control limits.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23331732     DOI: 10.1016/j.cll.2012.10.004

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  4 in total

1.  Application of Sigma Metrics Analysis for the Assessment and Modification of Quality Control Program in the Clinical Chemistry Laboratory of a Tertiary Care Hospital.

Authors:  Sahar Iqbal; Tazeen Mustansar
Journal:  Indian J Clin Biochem       Date:  2016-04-07

2.  An Automated Pipeline to Monitor System Performance in Liquid Chromatography-Tandem Mass Spectrometry Proteomic Experiments.

Authors:  Michael S Bereman; Joshua Beri; Vagisha Sharma; Cory Nathe; Josh Eckels; Brendan MacLean; Michael J MacCoss
Journal:  J Proteome Res       Date:  2016-10-04       Impact factor: 4.466

3.  Implementation of statistical process control for proteomic experiments via LC MS/MS.

Authors:  Michael S Bereman; Richard Johnson; James Bollinger; Yuval Boss; Nick Shulman; Brendan MacLean; Andrew N Hoofnagle; Michael J MacCoss
Journal:  J Am Soc Mass Spectrom       Date:  2014-02-05       Impact factor: 3.109

4.  Quality Controls in Ligand Binding Assays: Recommendations and Best Practices for Preparation, Qualification, Maintenance of Lot to Lot Consistency, and Prevention of Assay Drift.

Authors:  Mitra Azadeh; Perceval Sondag; Ying Wang; Maribeth Raines; Jeffrey Sailstad
Journal:  AAPS J       Date:  2019-07-11       Impact factor: 4.009

  4 in total

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