Abstract
ABSTRACTActuarial practice as regards mortality analysis and projection is changing rapidly. This paper provides a short introduction to some of the limitations and risks in using trends in cause of death as a means for projecting future mortality rates. It also covers recent developments in analysing the mortality of smaller populations, including survival models and “piggyback” models.
Publisher
Cambridge University Press (CUP)
Subject
Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability
Reference31 articles.
1. Two-Parameter Logistic and Weibull Equations Provide Better Fits to Survival Data From Isogenic Populations of Caenorhabditis elegans in Axenic Culture Than Does the Gompertz Model
2. Use and abuse of computer-stored medical records;van der Lei;Methods of Information in Medicine,1991
3. Romeri E. , Baker A. & Griffiths C. (2006). Mortality by deprivation and cause of death in England and Wales, 1999–2003. Health Statistics Quarterly 32, National Statistics.
4. A handbook of parametric survival models for actuarial use;Richards;Scandinavian Actuarial Journal,2010
5. Applying Survival Models to Pensioner Mortality Data
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