C. Erik Larson

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BACKGROUND Efficient and meaningful evaluation of performance is critical to the professional development of trainees in surgical residency programs. Current paper-based evaluation instruments have numerous limitations. We developed an Internet-based evaluation system to more rapidly and efficiently assess the experience of residents, faculty, and(More)
The measurement of credit quality is at the heart of the models designed to assess the reserves and capital needed to support the risks of both individual credits and portfolios of credit instruments. A popular speci…cation for credit-rating transitions is the simple, time-homogeneous Markov model. While the Markov speci…cation cannot really describe(More)
Models abound that analyze changes in credit quality. These models are designed to determine the reserves and capital needed to support the risks of individual credits as well as portfolios of credit instruments. Historical information on the transition of credit exposures from one quality level, or rating, to another is often used to estimate models that(More)
Lenders use rating and scoring models to rank credit applicants on their expected performance. The models and approaches are numerous. We explore the possibility that estimates generated by models developed with data drawn solely from extended loans are less valuable than they should be because of selectivity bias. We investigate the value of " reject(More)
Discovery in mathematics is a prototypical intelligent behavior, and an early and continuing goal of artificial intelligence research. We present a heuristic for producing mathematical conjectures of a certain typical form and demonstrate its utility. Our program conjectures relations that hold between properties of objects (property-relation conjectures).(More)
Lenders use rating and scoring models to rank credit applicants on their expected performance. The models and approaches are numerous. We explore the possibility that estimates generated by models developed with data drawn solely from extended loans are less valuable than they should be because of selectivity bias. We investigate the value of " reject(More)