Description: Transcript of the Q&A period from session 3B. Session focused on Women's longevity issues and Chronic Disability Measurement and cost.

Description: Presented at the Living to 100 Symposium, January 2011. This paper examines the relationship between the earliest stages of dementia—mild cognitive impairment—and mortality. Using data from long-term care insurance applicants, and linking this to the Social Security Master Death File, the authors focus on the classification results of two cognitive screens used at various times in the underwriting process. Applying the Cox Proportional Hazards Model as well as relative mortality ratio analysis, the authors show that the proportion of individuals classified as cognitively impaired have significantly higher relative mortality compared to those classified as cognitively intact.

Description: Presented at Living to 100 symposium, January 2011. Using data from Social Security's Death Master File, this study shows that mortality deceleration in humans observed at advanced ages may be an artifact caused by age exaggeration, data heterogeneity or use of improper estimates of hazard rate. The phenomenon of mortality deceleration at older ages vanishes for datasets of higher data quality.

Description: This is the informal discussion transcript for Concurrent Session 2A: Drivers of Future Mortality for the January 4-6, 2017 Living to 100 Symposium in Orlando.

Description: This is the transcript for Session 5B : What is Different Today for Post-retirement Financial Planning? from the 2017 Living to 100 Symposium in Orlando.

Description: This is the Does Migration Result in Mortality Improvement: A Case Study in Taiwan paper authored by Chih-Kai Chang, Jack C. Yue and Yen-Wen Chen for Session 3B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This is discussant comments from the session on Education Influence on Mortality at the January 15-18, 2023, 2023 Living to 100 Symposium in Orlando, Florida.

Description: This paper addresses issues and techniques for advanced age mortality study using data mining techniques, a new technology on the horizon with great actuarial potential. Seven factors were considered in this study, the influences of these factors on advanced-age mortality distribution were identified and models were derived for projecting advanced age mortality.

Description: The is the informal discussion transcript from Session 2B: Older Age Mortality Trends from the January 4-6, 2017 Living to 100 Symposium in Orlando.

Description: This is one of eight essays from the collection: 2020 Living to 100 Essays.