Zhezhen Jin
Department of BioStatistics
Columbia University
Some Statistical Issues and Methods for Alzheimer's Disease Studies
In this talk, some statistical issues and challenges that arise from
Alzheimer's disease studies will be discussed with two real examples. One
example is on the item selection and assessment that arise from a 40-item
test by the standardized University of Pennsylvania Smell Identification
Test (UPSIT) of olfactory function; This test is used to screen patients
for the risk of developing Alzheimer's disease. Another example is on the
analysis of health-related quality of life data that arise from Alzheimer's
disease studies. Here patients' mental and physical conditions are measured
over their follow-up periods and the resulting data are complicated by
subject-specific measurement times and a possible occurrence of terminal
events that are associated with outcome variables. Commonly used statistical
methods will be reviewed and newly developed statistical methods will be
presented. Simulation studies and the analysis of two real examples will
also be presented.
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