Suabshan Perera is a biostatistician with research interests in aging, clinical trials, time series analysis, item response theory, and classification and regression trees. His other work has involved estimating criteria for clinically meaningful change in physical performance measures of the elderly, examining their association with future outcomes using large data sets, and using item response theory to analyze rating scales used in elderly populations. Dr. Perera co-leads the Data Management, Analysis and Informatics Core of the Pittsburgh Claude D. Pepper Older Americans Independence Center, in addition to serving as lead statistician in multiple NIH, AHRQ and VA funded projects.
Abstract
Millions of people across the globe suffer from swallowing difficulties, known as dysphagia, which can lead to malnutrition, pneumonia, and even death. Swallowing cervical auscultation, which has been suggested as a noninvasive screening method for dysphagia, has not been associated...
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Objective: Evaluating stride events can be valuable for understanding the changes in walking due to aging and neurological diseases. However, creating the time series necessary for this analysis can be cumbersome. In particular, finding heel contact and toe-off events which...
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