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1	Model-based calibration of a non-invasive blood glucose monitor Shulga, Yelena A 11 January 2006 (has links) This project was dedicated to the problem of improving a non-invasive blood glucose monitor being developed by the VivaScan Corporation. The company has made some progress in the non-invasive blood glucose device development and approached WPI for a statistical assistance in the improvement of their model in order to predict the glucose level more accurately. The main goal of this project was to improve the ability of the non-invasive blood glucose monitor to predict the glucose values more precisely. The goal was achieved by finding and implementing the best regression model. The methods included ordinary least squared regression, partial least squares regression, robust regression method, weighted least squares regression, local regression, and ridge regression. VivaScan calibration data for seven patients were analyzed in this project. For each of these patients, the individual regression models were built and compared based on the two factors that evaluate the model prediction ability. It was determined that partial least squares and ridge regressions are two best methods among the others that were considered in this work. Using these two methods gave better glucose prediction. The additional problem of data reduction to minimize the data collection time was also considered in this work. robust regression partial least squares regression glucose non-invasive ordinary least squared regression ridge regression local regression weighted least squares regression diabetes
2	County level suicide rates and social integration: urbanicity and its role in the relationship Walker, Jacob Travis 05 May 2007 (has links) This study adds to the existing research concerning ecological relationships between suicide rates, social integration, and urbanicity in the U.S. Age-sex-race adjusted five-year averaged suicide rates for 1993-1997 and various measures of urbanicity are used. Some proposed relationships held true, while others indicate that social integration and urbanicity are so intertwined in their effects on suicide that no clear, unidirectional pattern emerges. The religious affiliation measure captured unique variations in the role religion plays in this relationship; depending on how urbanicity was measured. Findings suggest closer attention needs to be paid to how both urbanicity and religious affiliation are measured. Overall, vast regional variation exists in suicide rates and the role of urbanization can be misunderstood if not properly specified. social capital age-sex-race adjusted suicide rates beale codes rural-urban continuum codes county level weighted least squares regression income inequality divorce income education female labor force participation religion net migration urbanicity congregations urbanization social integration suicide

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Model-based calibration of a non-invasive blood glucose monitor

County level suicide rates and social integration: urbanicity and its role in the relationship