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Abstract:
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Temple University and Merck Research Laboratories have had a long-standing partnership in statistics. This has included the Merck-Temple Conference which has been held annually since 1993, short-courses, student interns, and collaborative research. This presentation will illustrate our interactions with an individual student, Dr. George Carides. George was a student at Temple and started as a summer intern in Health Economics at MRL in 1994. As part of a medical cost study, George encountered the bias caused by differential censoring in patient follow-up, and recognized that standard statistical models did not adequately address the problem. This work formed the basis for his Ph.D. dissertation and is one of the methods used for estimating average patient cost when the data are subject to censoring. The talk will provide an overview of the synergies provided in such partnerships.
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