Description: Heatmaps are an effective tool for visualizing changes in cancer incidences over time in large datasets. They can show the impact of screening measures, particularly when targeting specific age groups, and reveal characteristics of individual cohorts.

Description: Papers: Does Migration Result in Mortality Improvement: A Case Study in Taiwan – Chih-Kai Chang – Feng Chia University; Jack C. Yue – National Chengchi University; Yen-Wen Chen – Feng Chia University Mortality Trends – An International Perspective – Adrian Gallop, FIA – Government Actuaries Department

Description: In this session, panelists discuss the rationale behind aging research. They will explore recent demographic and biological insights. They will then explore when those breakthroughs could happen, what would their impact be on our understanding of mortality and mortality rates and the effect on different groups. Finally, it will be a chance to have your questions answered by that eminent set of panelists.

Description: The presenters will highlight differences in mortality that result from socioeconomic issues. Topics will include the differences in cause-specific mortality among different socioeconomic classes, trends in these gaps over time, and recommendations for reducing inequalities in life expectancy in the future.

Description: The session offers high-level initial steps to get started using R, as well as a list of helpful resources for both general data science and actuarial science with R. Attendees will learn about popular R packages to perform practical tasks such as importing, transforming and visualizing data, as well as packages commonly used by actuaries. You will also be introduced to the markdown package for creating reproducible and reusable analyses and workflows. By the end of the session, you will be familiar enough with using R and RStudio to begin incorporating these tools in your day-to-day work as an actuary

Description: The presenters will cover the latest research undertaken by the Individual Life Experience Committee (ILEC). With several years of very robust individual life insurance experience data accumulated through the mandatory Statistical Agent data calls, this vast amount of data allows for various deeper dives into specific segments of business, such as large face amount, older age or juvenile. Speakers will cover studies the committee is currently involved in, future planned efforts, and results from a variety of sub-segments of business. Attendees will learn about emerging statistical techniques in scrubbing data, more refined quintile-grouped data segments, and interesting ways of conceptualizing how A/E results have changed from year to year. There will be something for everyone!

Description: This study of mortality on deferred Variable annuities over the period 1991-1995 was designed to test the adequacy of the 1994 MGDB Valuation Mortality Table to cover presumed extra mortality on Variable annuities VAs with Substantial Minimum Guaranteed Death Benefits MGDBs as compared with VAs with Minimal MGDBs. A parallel study of Fixed Annuity experience was carried out as a control. Expected deaths were computed also on the Annuity 2000 Table. The results raise questions as to its continuing safety as a valuation table for individual annuities. The study also shows that mortality levels on Qualified NonPension Trust business are significantly lower than on Nonqualified business.

Description: The purpose of this survey is to provide international actuaries with benchmark assumption data.

Description: Matrix decomposition techniques are used to find main features of a dataset. These features can be used to describe the data or to find clusters of objects. The decompositions have problems when the matrices have missing data or are from different exposures. This article examines the issue and some papers dealing with it.

Description: sources of Health Care data Issue No. 37.