Results 11 to 20 of about 369,180 (307)

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

Modelling Future Coronary Heart Disease Mortality to 2030 in the British Isles. [PDF]

, 2015
OBJECTIVE: Despite rapid declines over the last two decades, coronary heart disease (CHD) mortality rates in the British Isles are still amongst the highest in Europe.
A Martin, Alastair H. Leyland, B Unal, C Ji, Carolyn Davies, CJ Murray, E Vartiainen, F Bull, FJ He, Frank Kee, H Tunstall-Pedoe, J Hughes, J Ruszkowska-Majzel, Joel W. Hotchkiss, John Hughes, Julia Critchley, Kathleen Bennett, LJ Cobiac, M Bajekal, M Ezzati, M Scollo, M Ward, MA Wakefield, Maria Guzman-Castillo, Martin O’Flaherty, P Puska, P Scarborough, Piotr Bandosz, R Clarke, S Adams, S Capewell, S Capewell, S Capewell, Simon Capewell, T Shimamoto, Yiru Guo, Z Kabir, Zubair Kabir   +37 more
core   +8 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
doaj   +1 more source

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
doaj   +1 more source

Joint modelling of longitudinal processes and time-to-event outcomes in heart failure: systematic review and exemplar examining the relationship between serum digoxin levels and mortality

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, Carly Adamson, Pardeep Jhund, Jim Lewsey   +3 more
doaj   +1 more source

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, Eduardo Acuña, Jorge Cancino, Rafael Rubilar   +3 more
doaj   +1 more source

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, Leathley, Michael J, Marsden, Jenny, Sutton, Chris J, Watkins, Caroline L   +4 more
core   +1 more source

Stochastic Period and Cohort Effect State-Space Mortality Models Incorporating Demographic Factors via Probabilistic Robust Principal Components

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, Gareth W. Peters, Man Chung Fung, Pavel V. Shevchenko   +3 more
doaj   +1 more source

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, John D. Santamaria, Graeme J. Duke, The Australian & New Zealand Intensive Care Society (ANZICS) Centre for Outcomes & Resource Evaluation (CORE)   +3 more
doaj   +1 more source

Modelling mitral valvular dynamics–current trend and future directions [PDF]

, 2017
Dysfunction of mitral valve causes morbidity and premature mortality and remains a leading medical problem worldwide. Computational modelling aims to understand the biomechanics of human mitral valve and could lead to the development of new treatment ...
Berry, Colin, Danton, Mark, Feng, Liuyang, Gao, Hao, Luo, Xiaoyu, Ma, Xingshuan, Qi, Nan   +6 more
core   +1 more source