Description: View the following report regarding Risk Scoring in Health Insurance: A Primer.

Description: Discusses the factors one should take into account when considering the appropriate level of precision for a task or a subsequent communication.

Description: In health insurance marketplaces, prospective insured individuals and groups are able to choose from a range of available plans. This study uses health care encounter data to simulate the choices faced by health insurance shoppers under a variety of conditions and measures the simulated effect of increased consumer choice and consumer information on medical loss ratios and, as a consequence, insurer profitability.

Description: This article compares three potential approaches to determining new coefficients for health-based risk scoring models: full recalibration, p-value credibility weighting, and penalized ridge regression.

Description: Description of the design and purpose of the military health system and Veterans Health Administration's programs. Covers the types of benefits offered and how these programs differ from typical commercial health systems.

Description: A discussion on podcasts relative to the Predictive Analytics & Futurism Section and how they can generate CE credits.

Description: This study identifies large categories of conditions that long-term care insurance LTCI carriers previously might have avoided because of a lack of data. This study estimates claims, mortality, and lapse rates for several conditions. Many of the conditions are further analyzed into risk categories, some of which would be insurable at standard rates.

Description: This article explores a potential alternative to the more typical regression-based specification of risk adjustment models. We demonstrate a proof of concept that a nearest-neighbors approach may hold some promise in certain applications of health-based risk adjustment.

Description: This report presents the results of a study comparing health risk scoring models.

Description: workbook to accompany Modeling Effects of Enrollee Choice