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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
6
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pubmed:dateCreated |
2011-5-26
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pubmed:abstractText |
We show how continuous glucose monitoring (CGM) data can be analyzed using a three-level B-spline model, facilitating the estimation of inter-patient variability, within-patient inter-day variability, and measurement error. We propose methods for statistical comparison of glucose profiles among patient groups.
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pubmed:grant |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Jun
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pubmed:issn |
1557-8593
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
13
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
675-82
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pubmed:dateRevised |
2011-11-17
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pubmed:meshHeading |
pubmed-meshheading:21488799-Adolescent,
pubmed-meshheading:21488799-Adult,
pubmed-meshheading:21488799-Aged,
pubmed-meshheading:21488799-Bayes Theorem,
pubmed-meshheading:21488799-Blood Glucose,
pubmed-meshheading:21488799-Circadian Rhythm,
pubmed-meshheading:21488799-Data Interpretation, Statistical,
pubmed-meshheading:21488799-Diabetes Mellitus, Type 1,
pubmed-meshheading:21488799-Diabetes Mellitus, Type 2,
pubmed-meshheading:21488799-Extracellular Fluid,
pubmed-meshheading:21488799-Female,
pubmed-meshheading:21488799-Glucose,
pubmed-meshheading:21488799-Humans,
pubmed-meshheading:21488799-Insulin,
pubmed-meshheading:21488799-Insulin Infusion Systems,
pubmed-meshheading:21488799-Kinetics,
pubmed-meshheading:21488799-Male,
pubmed-meshheading:21488799-Middle Aged,
pubmed-meshheading:21488799-Models, Statistical,
pubmed-meshheading:21488799-Monitoring, Ambulatory,
pubmed-meshheading:21488799-Reproducibility of Results,
pubmed-meshheading:21488799-Young Adult
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pubmed:year |
2011
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pubmed:articleTitle |
Using a multi-level B-spline model to analyze and compare patient glucose profiles based on continuous monitoring data.
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pubmed:affiliation |
Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts, USA. hzheng1@partners.org
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't,
Research Support, N.I.H., Extramural
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