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APPLICATION OF ADVANCED STATISTICAL METHODS IN …

APPLICATION OF ADVANCED STATISTICAL METHODS IN AN AGING DATASET by Karina Nelly Alvarez BS, Carnegie Mellon University, 2009 Submitted to the Graduate Faculty of Department of Biostatistics Graduate School of Public Health in partial fulfillment of the requirements for the degree of Master of Science University of Pittsburgh 2012 ii UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH This thesis was presented by Karina Nelly Alvarez It was defended on April 13, 2012 and approved by Thesis Advisor: Lisa Weissfeld, PhD, MA Professor Biostatistics Graduate School of Public Health University of Pittsburgh Committee Member: Sachin Yende, MD, MS Associate Professor Critical Care Medicine University of Pittsburgh Medical School University of Pittsburgh Committee Member: Caterina Rosa

The focus of this thesis was to explore the application of advanced statistical methods in the Ginkgo Evaluation of Memory (GEM) Study. GEMS enrolled 3,069 participants age 75 or older with normal cognition or mild cognitive impairment. Those with dementia were excluded from participation.

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