Statistical Rules for Laboratory Networks
Konnert, A


Berding, C
Department of Biostatistics, Roche Diagnostics GmbH, Penzberg, Germany

Arends, S
Department of Biostatistics, Roche Diagnostics GmbH, Penzberg, Germany

Parvin, C
Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO

Rohlfing, CL
University of Missouri School of Medicine, Columbia, MO

Wiedmeyer, H
Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO

Little, R
Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO

Siebelder, C
Queen Beatrix Hospital, Winterswijk, The Netherlands

Weykamp, C
Queen Beatrix Hospital, Winterswijk, The Netherlands

(Received 21 February 2005; accepted 8 August 2005)

Abstract
Within the definition of reference methods, laboratory networks and interlaboratory studies play an important role. To maintain the quality of the results statistical rules for quality control need to be defined. In this note we review statistical rules for the evaluation of laboratories participating in interlaboratory studies as well as data evaluation rules for the calculation of consensus means. The practicality of the derived rules is elaborated for a number of recent HbA1c interlaboratory studies

Keywords:
HbA1c reference standardization, interlaboratory studies, statistical rules, quality control, statistics for networks

Paper ID: JTE14082
DOI: 10.1520/JTE14082

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Author Konnert A, Berding C, Arends S, Parvin C, Rohlfing CL, Wiedmeyer H, Little R, Siebelder C, Weykamp C Title Statistical Rules for Laboratory Networks Symposium , Committee on