2008 Summer Program in Quantitative
Sciences for Public Health Research
Group Projects and Mentors
Faculty
Mentor: Dr. Paige Williams Project Title: Evaluating the Prevalence of Psychiatric Disorders Across Races in HIV-positive and HIV-negative Associated Children Project Description: The students examined whether there is a racial difference in the prevalence and severity of psychiatric disorders in both children who have HIV and children who live with someone who has HIV. Using linear and logistic regression, students found that no significant differences in prevalence nor severity among races were found. The secondary objective was to examine the percent agreement of children and their caregivers when reporting on the child's psychiatric symptoms. Preliminary findings showed a disagreement between the child and caregiver when reporting for each disorder.
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Faculty Mentor:
Dr. Xihong Lin Project Title: Examination of Arsenic Exposure Effects on Proteomic Profiles Project Description: Arsenic, a human carcinogen, is one of the most serious environmental health hazards. In Bangladesh, 55-77 million people are at risk of drinking arsenic contaminated water—the largest mass poisoning of a population in history. Developing appropriate therapeutic interventions for treating arsenic exposed individuals rely on a detailed understanding of the biological mechanisms of response to heavy metal exposure. However, research on the effects of chronic arsenic is very limited. Advanced proteomic technologies are useful tool for studying the abundances of many proteins simultaneously. We will use linear regression analysis to study the effect of chronic arsenic exposure on protein profiles of subjects from a large arsenic case-control study of skin disease in Bangladesh. The data contains phenotypic and proteomic information on 214 subjects. The goal is to determine which proteins have abundances associated with chronic exposure to arsenic. |
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Faculty Mentor: Dr.
Christoph Lange Project Title: Genetic Determinants of Alcoholism Project Description: This project used regression models to investigate genetic determinants of alcoholism. They applied multivariate regression models to the Collaborative Study on the Genetics of Alcoholism (COGA), which contains genetic and phenotype information on approximately 1600 subjects from 143 families. The goal of the project was to identify any significant genetic markers of alcoholism (or surrogate phenotypic traits). |
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