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Available data may reflect a true but unknown random variable of interest plus an additive error, which is a nuisance. The problem in predicting the unknown random variable arises in many applied situations where measurements are contaminated with errors; it is known as the regression-to-the-mean problem. There exists a well known solution when both the(More)
in the MS Forensics program. Foundation in theory and practice of forensic DNA analysis; past, present , and emerging technologies; legal and quality assurance issues. DNA extraction, DNA quantita-tion, multiplex amplification of STR loci, capillary electrophoresis of amplified products, and analysis of STR typing data. (Same course as Forensic Science(More)
BACKGROUND Current interventions to enhance patient self-efficacy, a key mediator of health behavior, have limited primary care application. OBJECTIVE To explore the effectiveness of an office-based intervention for training resident physicians to use self-efficacy-enhancing interviewing techniques (SEE IT). DESIGN Randomized controlled trial. (More)
BACKGROUND Individual point data can be analyzed against an entire cohort instead of only sampled controls to accurately picture the geographic distribution of populations at risk for low prevalence diseases. Analyzed as individual points, many smaller clusters with high relative risks (RR) and low empirical p values are indistinguishable from a random(More)
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