Business analytics courses, such as marketing research, data mining, forecasting, and advanced financial modeling, have substantial predictive modeling components. The predictive modeling in these courses requires students to estimate and test many linear regressions. As a result, false positive variable selection ("type I errors") is…

The Cox proportional hazards model and the accelerated failure time model are frequently used in survival data analysis. They are powerful, yet have limitation due to their model assumptions. Quantile regression offers a semiparametric approach to model data with possible heterogeneity. It is particularly powerful for censored responses, where the…

In its report "To Err is Human", The Institute of Medicine recommended the implementation of internal and external voluntary and mandatory automatic reporting systems to increase detection of adverse events. Knowledge Discovery in Databases (KDD) allows the detection of patterns and trends that would be hidden or less detectable if analyzed by…

Random-walk conceptions of performance, aspirations, and risk preferences are used to model a pattern of risk taking responsive to a risk taker's changing fortune. The impact of adaptive aspirations and attention focus on risk taking over time is explored for cohorts and a renewing population of risk takers. (SLD)

Highlights difficulties inherent in applying existing models of attitude-behavior relationships to Acquired Immune Deficiency Syndrome (AIDS) risk behavior of African Americans. The relevant determinants of African-American risk behaviors may not be captured by these social psychological models that may ignore uniquely African-American issues.…