Description: Discussion resulting from presentation of Held's Plastic Omega paper at the Living to 100 and Beyond symposium, Session 1. This is Held's response to Jay Olshansky's comments regarding his paper, which discussed research on the aging process.

Description: Using population data, mortality rates are projected for people who will attain age 80 in the future. Finally, the distribution of the maximum age at death that will be attained by a Canadian is investigated.

Description: Discussion of paper presented at Living to 100 and Beyond symposium. Discusses paper by Guo and Wang on the use of data mining to determine the key factors affecting mortality rates at older ages.

Description: These are the discussant comments for the concurrent session 4A: Longevity in the Public Eye from the January 4-6, 2017 Living to 100 Symposium in Orlando.

Description: This article covers subjects discussed at the 2011 Living To 100 Symposium. Included were the real potential of a material extension of life and economic challenges associated such an occurrence.

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 article discusses the sources of the information in the Social Security Death Master File and the potential utility of this information for demographic studies of centenarians and near-centenarians.

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.