A critical appraisal of the continuous glucose-error grid analysis: response to Wentholt et al

Therefore, standard statistical analyses such as t tests, while appropriate for independent data points, will produce inaccurate results if applied to CGS data. The result was reported as significant (P = 0.013), but for these highly overlapping MADs to differ statistically required a large number (...

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Bibliographic Details
Published inDiabetes care Vol. 30; no. 2; pp. 449 - 451
Main Authors Clarke, William L, Gonder-Frederick, Linda, Cox, Daniel, Kovatchev, Boris
Format Journal Article
LanguageEnglish
Published United States American Diabetes Association 01.02.2007
Subjects
Accuracy
Analysis
Biosensing Techniques
Blood Glucose - analysis
Care and treatment
Diabetes
Diagnosis
Glucose
Glucose monitors
Humans
Monitoring, Ambulatory - methods
Reproducibility of Results
Sensors
Studies
Time series
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Summary:Therefore, standard statistical analyses such as t tests, while appropriate for independent data points, will produce inaccurate results if applied to CGS data. The result was reported as significant (P = 0.013), but for these highly overlapping MADs to differ statistically required a large number (> 1,000) of degrees of freedom, which was calculated by pooling the total number of CGS data points (735 and 1,156) across all subjects.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Commentary-1
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ObjectType-Correspondence-2
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ISSN:0149-5992
1935-5548
DOI:10.2337/dc06-1901