Concordance Between Self-Report and a Survey-Based Algorithm for Classification of Type 1 and Type 2 Diabetes Using the 2011 Population-Based Survey on Living With Chronic Diseases in Canada (SLCDC)-Diabetes Component-Reference-Cited by-同舟云学术

Concordance Between Self-Report and a Survey-Based Algorithm for Classification of Type 1 and Type 2 Diabetes Using the 2011 Population-Based Survey on Living With Chronic Diseases in Canada (SLCDC)-Diabetes Component

Published:2013-08 Issue:4 Volume:37 Page:249-253
ISSN:1499-2671
Container-title:Canadian Journal of Diabetes
language:en
Short-container-title:Canadian Journal of Diabetes

Author:

Ng Edward,Vanderloo Saskia E.,Geiss Linda,Johnson Jeffrey A.

Publisher

Elsevier BV

Subject

Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference20 articles.

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2. Statistics Canada. 2011. Diabetes, by sex, provinces and territories, CANSIM Table 105–0501. http://www5.statcan.gc.ca/cansim/a05?lang=eng&id=1050501, accessed July 5, 2013.

3. Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm;Hux;Diabetes Care,2002

4. Public Health Agency of Canada. 2011. Diabetes in Canada: facts and figures from a public health perspective. Ottawa. http://www.phac-aspc.gc.ca/cd-mc/publications/diabetes-diabete/facts-figures-faits-chiffres-2011/, accessed July 5, 2013.

5. Validation of a health administrative data algorithm for assessing the epidemiology of diabetes in Canadian children;Guttmann;Pediatr Diabetes,2010

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