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Journal of Diabetes Science and Technology|October 16, 2014
The chronic injury glucose error grid: a tool to reduce diabetes complicationsJan S Krouwer, George S CembrowskiJournal of Diabetes Science and Technology|February 20, 2010
A review of standards and statistics used to describe blood glucose monitor performanceJan S Krouwer, George S CembrowskiClinical Chemistry and Laboratory Medicine|May 31, 2011
Towards more complete specifications for acceptable analytical performance - a plea for error grid analysisJan S Krouwer, George S CembrowskiJournal of Diabetes Science and Technology|January 10, 2012
Analysis of the performance of the OneTouch SelectSimple blood glucose monitoring system: why ease of use studies need to be part of accuracy studiesJan S KrouwerArchives of Pathology & Laboratory Medicine|May 28, 2004
An improved failure mode effects analysis for hospitalsJan S KrouwerJournal of Diabetes Science and Technology|December 25, 2018
Reducing Glucose Meter Adverse Events by Using Reliability Growth With the FDA MAUDE DatabaseJan S KrouwerJournal of Diabetes Science and Technology|January 1, 2016
Improving the Glucose Meter Error Grid With the Taguchi Loss FunctionJan S KrouwerClinical Chemistry|May 25, 2002
Setting performance goals and evaluating total analytical error for diagnostic assaysJan S KrouwerJournal of Diabetes Science and Technology|December 2, 2021
Traditional Interference Experiments vs. Method Comparison Interference ExperimentsJan S KrouwerJournal of Diabetes Science and Technology|January 10, 2012
Evaluation of the analytical performance of the coulometry-based Optium Omega blood glucose meter: what do such evaluations show?Jan S KrouwerPageof 6