Simulating total error while excluding results underestimates total error

Clinical Chemistry

Volumn 56, Issue 9, 2010, Pages 1505-1506

  Krouwer, Jan S ^a  

^a Krouwer Consulting   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE; INSULIN;

GLYCEMIC CONTROL; HEMATOCRIT; INTENSIVE CARE UNIT; LETTER; MATHEMATICAL ANALYSIS; OXYGEN TENSION; SIMULATION;

BLOOD GLUCOSE; DATA INTERPRETATION, STATISTICAL; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; MODELS, STATISTICAL; MONITORING, PHYSIOLOGIC;

EID: 77956360577     PISSN: 00099147     EISSN: 15308561     Source Type: Journal    
DOI: 10.1373/clinchem.2010.151936     Document Type: Letter

References (5)

1. Karon BS, Boyd JC, Klee GG. Glucose meter performance criteria for tight glycemic control estimated by simulation modeling. Clin Chem 2010;56:1091-7.
2. Krouwer JS. How to improve total error modeling by accounting for error sources beyond imprecision and bias. Clin Chem 2001;47:1329-30.
3. Boyd JC, Bruns DE. Response to how to improve total error modeling by accounting for error sources beyond imprecision and bias. Clin Chem 2001;47:1330-1.
4. Krouwer JS, Cembrowski GS. A review of standards and statistics used to describe blood glucose monitor performance. J Diabetes Sci Technol 2010;4:75-83.
5. Lawton WH, Sylvester EA, Young-Ferraro BJ. Statistical comparison of multiple analytic procedures: application to clinical chemistry. Technometrics 1979;21:397-409.