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Use of big health and actuarial data for understanding longevity and morbidity risk, in: Longevity Bulletin, Issue 9, December 2016

Kulinskaya, E; Gitsels, L; (2016) Use of big health and actuarial data for understanding longevity and morbidity risk, in: Longevity Bulletin, Issue 9, December 2016. [Scholarly edition]. Institute and Faculty of Actuaries (IFoA) Green open access

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Abstract

This paper is about the new research programme funded by the Institute and Faculty of Actuaries (IFoA). It is a joint project between the School of Computing Sciences and Norwich Medical School within the University of East Anglia (UEA), and Aviva Life. The main objectives are the development of novel statistical and actuarial methods for modelling mortality, modelling trends in morbidity, assessing basis risk, and evaluating longevity improvements based on individual level big health and actuarial data. The objectives are addressed using data from The Health Improvement Network (THIN) primary care database and the Continuous Mortality Investigation (CMI) actuarial database.

Type: Scholarly edition
Title: Use of big health and actuarial data for understanding longevity and morbidity risk, in: Longevity Bulletin, Issue 9, December 2016
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.actuaries.org.uk/learn-and-develop/res...
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept
URI: https://discovery.ucl.ac.uk/id/eprint/10097098
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