Publications

Articles

  1. Jan S. Krouwer and Bernard M. Babior: The Mechanism of Action of Ethanolamine Ammonia-Lyase. Reaction of a Postulated Organocorrin Intermediate with Enzyme, J. Biol. Chem., 252, 5004-5009 (1977).
  2. Jan S. Krouwer, Richard M. Schultz, and Bernard M. Babior: Aminoacetaldehyde, a Substrate Analog for Ethanolamine Ammonia-Lyase, a B12-dependent Enzyme, J. Biol. Chem., 253, 1041-1047 (1978).
  3. Jan S. Krouwer and Joe P. Richmond: The Synthesis and Reactions of Enamine N-oxides, J. Org. Chem., 43, 2464-2466 (1978).
  4. Jan S. Krouwer, Barton Holmquist,RubyS. Kipnes, and Bernard M. Babior: The Mechanism of Action of Ethanolamine Ammonia-Lyase, an Adenosylcobalamin-dependent Enzyme. Evidence that Carbon-Cobalt Bond Cleavage is Driven in Part by Conformational Alternations of the Corrin Ring, Biochim. Biophys Acta, 612, 153-159 (1980).
  5. Steven W. Graves, Jan S. Krouwer, and Bernard M. Babior: The Mechanism of Ethanolamine Ammonia-Lyase, an AdoCbl-dependent Enzyme. Studies with Isopropanolamine, A Substrate for the Enzyme. J. Biol. Chem., 255, 7444-7448 (1980).
  6. Jan S. Krouwer and Robin Rabinowitz: How to Improve Estimates of Imprecision, Clin. Chem., 30, 290-292 (1984).
  7. Patricia E. Garrett and Jan S. Krouwer: Method Evaluation II: Precision and Sensitivity Considerations: J. of Clinical Immunoassay, 8, 165-168 (1985).
  8. Jan S. Krouwer: Improving the Reporting of Immunoassay Specificity, Clin. Chem., 32, 1980 (1986).
  9. Jan S. Krouwer: Cumulative Distribution Analysis Graphs – An Alternative to ROC Curves, Clin. Chem., 33, 2305-6 (1987).
  10. Jan S. Krouwer, William N. Stewart, and Brian Schlain: A Multi-factor Design for the Evaluation of Random Access Analyzers, Clin. Chem., 34, 1894-6 (1988).
  11. Brian Schlain and Jan S. Krouwer: Multi-factor Designs II. A Design for Identifying Instruments with Sample-to-sample Carryover and Drift. Clin. Chem., 35, 2118-2120 (1989)
  12. Jan S. Krouwer: Multi-Factor Designs IV. How Multi-factor Designs Improve the Estimate of Total Error by Accounting for Protocol Specific Bias. Chem. Chem., 37, 26-29 (1991).
  13. Jan S. Krouwer: Estimating Total Analytical Error and Its Sources: Techniques to Improve Method Evaluation. Arch Pathol Lab Med., 116, 726-731 (1992).
  14. Jan S. Krouwer and Brian Schlain: A Method to Quantify Deviations From Nonlinearity. Clin. Chem., 39, 1689-93, (1993).
  15. Jan S. Krouwer and Katherine L Monti: A Simple Graphical Method to Evaluate Laboratory Assays, Eur. J. Clin. Chem. and Clin. Biochem., 33, 525-527 (1995).
  16. Jan S. Krouwer: Beware the Percent Completion Metric. Research Technology Management, 41, 13-15, (1998).
  17. Jan S. Krouwer: Evaluation of Assay Systems. Clin. Chem. News, 27, 10-14 March 2001
  18. Jan S. Krouwer: Setting Performance Goals and Evaluating Total Analytical Error for Diagnostic Assays. Clin. Chem., 48: 919-927 (2002).
  19. Jan S. Krouwer: Using a Learning Curve Approach to Reduce Laboratory Error. Accred. Qual. Assur. 7 461-467 (2002).
  20. Jan S. Krouwer: A Critique of the GUM Method of Estimating and Reporting Uncertainty in Diagnostic Assays Clin. Chem., 49:1818-1821 (2003)
  21. Jan S. Krouwer: ISO 9001 has had no effect on quality in the in-vitromedical diagnostics industry. Accred. Qual. Assur., 9: 39-43 (2004).
  22. Jan S. Krouwer: An improved FMEA (Failure Mode Effects Analysis) for Hospitals. Arch Pathol Lab Med 128: 663-667 (2004).
  23. Recommendation to treat continuous variable errors like attribute errors. Clinical Chemistry and Laboratory Medicine 2006;44(7):797–798
  24. Jan S. Krouwer: FDA’s new proposed waiver application guideline – how it differs from previous performance evaluations. IVD Technology 2006; 12;24-31
  25. Jan S. Krouwer: Dynamic rather than static performance measures are needed to improve patient safety Accred. Qual. Assur. 2006;11:644-646.
  26. Jan S. Krouwer: How clinical laboratories can evaluate false positives and false negatives. Point of Care: The Journal of Near-Patient Testing & Technology 2008;7:16-18.
  27. Jans S. Krouwer: Ten tips to improve risk assessment. IVD Technology, 2008; 14:16-23.
  28. Jan S. Krouwer: Six Sigma can be dangerous to your health. Accred Qual Assur 2009; 14:49-52.
  29. Jan S. Krouwer and George S. Cembrowski A review of standards and statistics used to describe blood glucose monitor performance. Journal of Diabetes Science and Technology, Journal of Diabetes Science and Technology, 2010;4:75-83.
  30. Jans S. Krouwer: Why manufacturers should embrace error grids. IVD Technology, 2010; 16:18-21. http://www.ivdtechnology.com/article/why-manufacturers-should-embrace-error-grids.
  31. Jan S. Krouwer and George S. Cembrowski. Towards more complete specifications for acceptable analytical performance – a plea for error grid analysis. Clinical Chemistry and Laboratory Medicine, 2011;49:1127-1130.
  32. Jan S. Krouwer: A Widespread Myth About Point-of-Care Devices Point of Care: The Journal of Near-Patient Testing & Technology 2011;10:146-147.
  33. Jan S. Krouwer: Analysis of the Performance of the OneTouch SelectSimple Blood Glucose Monitoring System: Why Ease of Use Studies Need to Be Part of Accuracy Studies. Journal of Diabetes Science and Technology, 2011;5:610-611.
  34. Jan S. Krouwer: Evaluation of the Analytical Performance of the Coulometry-Based Optium Omega Blood Glucose Meter: What Do Such Evaluations Show? Journal of Diabetes Science and Technology, 2011;5:618-620.
  35. Jan S. Krouwer: Interference Testing: Why Following Standards Is Not Always the Right Thing to Do. Journal of Diabetes Science and Technology, 2012;6:1182–1184.
  36. Jan S. Krouwer: Why specifications for allowable glucose meter errors should include 100% of the data. Clinical Chemistry and Laboratory Medicine, 2013;51:1543-1544.
  37. Jan S. Krouwer: The new glucose standard POCT12-A3 misses the mark. Journal of Diabetes Science and Technology, September 2013;7:1400–1402.

  38. Jan S. Krouwer: The danger of using total error models to compare glucose meter performance. Journal of Diabetes Science and Technology, 2014;8:419-421.
  39. Jan S. Krouwer and George S. Cembrowski: The chronic injury glucose error grid. A tool to reduce diabetes complications. Journal of Diabetes Science and Technology, 2015;9:149-152.
  40. Jan S. Krouwer: Biases in clinical trials performed for regulatory approval, Accred Qual Assur, 2015;20:437-439.
  41. Jan S Krouwer: Improving the Glucose Meter Error Grid With the Taguchi Loss Function Journal of Diabetes Science and Technology, 2016;10:967-970.
  42. Jan S Krouwer: The problem with total error models in establishing performance specifications and a simple remedy. Clinical Chemistry and Laboratory Medicine, 2016;54:1299-1301.

Letters

  1. Jan S. Krouwer: Observations on Comparisons of Within-Run and Day-to-Day Precision, Clin. Chem., 27, 202 (1981), Clin. Chem., 27, 629, (1981) Publisher correction.
  2. Jan S. Krouwer and William N. Stewart: Correction of Precision Equations in NCCLS EP5-T, (Letter) Clin. Chem., 33, 1104 (1987).
  3. Jan S. Krouwer: The CV at The Detection Limit, (Letter) Clin. Chem., 35, 901 (1989).
  4. Brian Schlain and Jan S. Krouwer: Reply to Letter to Editor about: A Method to Quantify Deviations From Nonlinearity. Clin. Chem., 39, 1689-93, (1993), Clin. Chem., 40, 1785-6 (1994).
  5. Jan S. Krouwer and Katherine L. Monti: A Modification of EP10 to Include Interference Screening,. Clin. Chem., 41, 325-6 (1995).
  6. Jan S. Krouwer: How to Improve Total Error Modeling by Accounting for Error Sources Beyond Imprecision and Bias, Clin. Chem., 47, 1329-30 (2001).
  7. Jan S. Krouwer: Proposal to add an optional Recommendations section to Clinical Chemistry Abstracts. Clin. Chem., 48, 2292 (2002).
  8. Jan S. Krouwer: Certification is important – modeling andmeasurement are more important. Accred Qual Assur, 8, 368 (2003).
  9. Jan S. Krouwer: Problems with the NCEP (National Cholesterol Education Program) Recommendations for Cholesterol Analytical Performance. Arch Pathol Lab Med 127, 1249 (2003).
  10. Jan S. Krouwer: There is nothing wrong with the concept of a root cause. Int J Qual Health Care 2004 16: 263.
  11. Jan S. Krouwer Uncertainty intervals based on deleting data are not useful. Clinical Chemistry 2006;52:1204-1205.
  12. Jan S. Krouwer: More on Reporting Medical Errors Clin. Chem. 2006;52:2120.
  13. Jan S. Krouwer: Comments on the editorial “On quality of a measurement result” Accred Qual Assur, 2007;12:263-264.
  14. Jan S. Krouwer: A recommended improvement for specifying and estimating creatinine performance. Clinical Chemistry 2007; 53:1715-1716.
  15. Jan S. Krouwer: Why Bland-Altman plots should use X, not (Y+X)/2 when X is a reference method. Statistics in Medicine, 2008;27:778-780.
  16. Wrong thinking about glucose standards. Clin Chem, 2010;56:874-875.
  17. Jan S. Krouwer: Simulating Total Error While Excluding Results Underestimates Total Error
    Clinical Chemistry 2010;56:1505-1506.
  18. Jan S. Krouwer and George S. Cembrowski: Acute Versus Chronic Injury in Error Grids. Journal of Diabetes Science and Technology, 2014;8:1057.
  19. Jan S. Krouwer: Using the wrong model can lead to unsupported conclusions about glucose meters. Clinical Chemistry, 2015;61:666.
  20. Jan S. Krouwer: Why the New FDA Glucose Meter POCT Guidance Is Disappointing. Journal of Diabetes Science and Technology, in press.
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