Description: The presenters will share information about: -Insights into causes of death through the use of predictive models, based on a reinsured U.S. life portfolio, using logistic regression models to understand three main causes of death: cancer, heart and external causes; -Opioid abuse is a widespread phenomenon with drug-related mortality rates rising steeply in the U.S. over the past two decades. But what does the most recent data tell U.S. about the outlook for Opioid-related mortality?; -'Deaths of despair' have been publicized as a cause for the poor performance of U.S. mortality in recent years. The presenters will be looking at the different causes under this label, their evolution and explore the drivers behind them.

Description: The Society of Actuaries' Committee on Life Insurance Research, Product Development Section and Reinsurance Section are pleased to make the following report available. Authored by Allen Klein and Karen Rudolph of Milliman, this paper presents the results of research that identifies laboratory tests that are not widely used in the life insurance industry but could have potential benefits for use in the life insurance underwriting process. In addition, the authors have provided an Excel workbook illustrating the calculation for determining mortality savings.

Description: A number of vendors have developed mortality scoring systems through various predictive modeling algorithms. They significantly alter the underwriting and mortality assessment landscape. You have been charged with evaluating these scoring systems. How should you go about doing it to maximize the value of your analysis and minimize the disruption to your product?At the conclusion of the session, attendees will:Learn about the types of scoring systems now available;Learn to create an action plan for evaluation; Learn how to navigate the pitfalls of evaluating something entirely new; andLearn how to integrate the score in your existing processes.