The detectability of confounding effects in glycemic diary data from in silico patients with diabetes
Type of content
Conference Contributions - Other
UC permalink
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Publisher
University of Canterbury. Mechanical Engineering
Journal Title
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Date
2015
Authors
Mansell, E.J.
Docherty, P.D.
Chase, Geoff
Abstract
Description
Citation
Mansell, E.J., Docherty, P.D., Chase, J.G. (2015) The detectability of confounding effects in glycemic diary data from in silico patients with diabetes. Bethesda, Maryland: 15th Annual Diabetes Technology Meeting, 22-24 October 2015.
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Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Field of Research::09 - Engineering::0903 - Biomedical Engineering
Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinology
Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinology