Results 11 to 20 of about 366,903 (304)
MODELLING MORTALITY FOR PENSION SCHEMES [PDF]
ASTIN Bulletin, 2017 AbstractFor many pension schemes, a shortage of data limits their ability to use sophisticated stochastic mortality models to assess and manage their exposure to longevity risk. In this study, we develop a mortality model designed for such pension schemes, which compares the evolution of mortality rates in a sub-population with that observed in a ...
Hunt, A., Blake, D.
openaire +2 more sources
General Quantile Time Series Regressions for Applications in Population Demographics
Risks, 2018 The paper addresses three objectives: the first is a presentation and overview of some important developments in quantile times series approaches relevant to demographic applications—secondly, development of a general framework to represent ...
Gareth W. Peters
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Modelling Excess Mortality in Covid-19-Like Epidemics
Entropy, 2020 We develop an agent-based model to assess the cumulative number of deaths during hypothetical Covid-19-like epidemics for various non-pharmaceutical intervention strategies. The model simulates three interrelated stochastic processes: epidemic spreading,
Zdzislaw Burda
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BMC Medical Research Methodology, 2023 Background Joint modelling combines two or more statistical models to reduce bias and increase efficiency. As the use of joint modelling increases it is important to understand how and why it is being applied to heart failure research.
Ryan J. Field +3 more
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Modeling natural mortality for different plant densities in dendroenergetic trials
Revista de la Facultad de Ciencias Agrarias, 2021 Mortality was modelled for three species (Acacia melanoxylon, Eucalyptus camaldulensis, Eucalyptus nitens) at three plantation densities (5000, 7500, and 10000 trees ha-1) in an trial of biomass production for purposes of dendroenergetic.
Simon Sandoval +3 more
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Modelling hospital outcome: problems with endogeneity
BMC Medical Research Methodology, 2021 Background Mortality modelling in the critical care paradigm traditionally uses logistic regression, despite the availability of estimators commonly used in alternate disciplines.
John L. Moran +3 more
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Changing stroke mortality trends in middle-aged people: an age-period-cohort analysis of routine mortality data in persons aged 40 to 69 in England [PDF]
, 2010 Background: In the UK, overall stroke mortality has declined. A similar trend has been seen in coronary heart disease, although recent reports suggest this decline might be levelling off in middle-aged adults.
Dey, Maria Paola +4 more
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Risks, 2017 In this study we develop a multi-factor extension of the family of Lee-Carter stochastic mortality models. We build upon the time, period and cohort stochastic model structure to extend it to include exogenous observable demographic features that can be ...
Dorota Toczydlowska +3 more
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Joint modelling of longitudinal 3MS scores and the risk of mortality among cognitively impaired individuals. [PDF]
PLoS ONE, 2017 BACKGROUND:Modified Mini-Mental State Examination (3MS) is an instrument administered by trained personnel to examine levels of participants' cognitive function.
Chris B Guure +3 more
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Stochastic Mortality Modelling for Dependent Coupled Lives
Risks, 2020 Broken-heart syndrome is the most common form of short-term dependence, inducing a temporary increase in an individual’s force of mortality upon the occurrence of extreme events, such as the loss of a spouse. Socioeconomic influences on bereavement
Kira Henshaw +2 more
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