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Sample Size Formulas For Estimating Intraclass Correlation Coefficients In Reliability Studies With Binary Outcomes, Mengxiao Xu Aug 2016

Sample Size Formulas For Estimating Intraclass Correlation Coefficients In Reliability Studies With Binary Outcomes, Mengxiao Xu

Electronic Thesis and Dissertation Repository

Introduction: Measurement errors can seriously affect quality of clinical practice and medical research. It is therefore important to assess such errors by conduct- ing studies to estimate a coefficients reliability and assessing its precision. The intraclass correlation coefficient (ICC), defined on a model that an observation is a sum of information and random error, has been widely used to quantify reliability for continuous measurements. Sample formulas have been derived for explicitly incorporation of a prespecified probability of achieving the prespecified precision, i.e., the width or lower limit of a confidence interval for ICC. Although the concept of ICC is applicable …


Risk Factors For Diabetes Mellitus: A Comparative Analysis Of Subpopulation Differences In A Large Canadian Sample, Michael James Taylor Aug 2013

Risk Factors For Diabetes Mellitus: A Comparative Analysis Of Subpopulation Differences In A Large Canadian Sample, Michael James Taylor

Electronic Thesis and Dissertation Repository

Objectives: Certain Canadian subpopulations observe numerous modifiable and non-modifiable risk factors for diabetes. This study compares immigrants and Aboriginals (First Nations, Inuit, and Métis) with Canada-born individuals at higher risks for diabetes, and deciphers the determinant differences between them.

Methods: Pooled Canadian Community Health Survey data (2001-2010) were used. Time trends for diabetes within each subsample were calculated using individual survey year prevalence rates; diabetes diagnoses were self-reported (N=33,565). Various risk factors were also examined using logistic regression.

Results: Diabetes prevalence rates significantly increased from 2001 to 2010 for each subpopulation, as well as the total sample: Canada-Born individuals (3.9% …