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Dr. Perera is a biostatistician with interests in aging, clinical trials, time series analysis, item response theory, and classification and regression trees. His 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 our Pepper Center, in addition to serving as lead statistician in multiple funded NIH, AHRQ and VA grants within and outside of the Division.
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