Results 1 to 10 of about 57,293 (117)

Cancer Mortality Projections in Korea up to 2032. [PDF]

open access: yesJ Korean Med Sci, 2016
Predicting cancer mortality is important to estimate the needs of cancer-related services and to prevent cancer. Despite its significance, a long-term future projection of cancer mortality has not been conducted; therefore, our objective was to estimate future cancer mortality in Korea by cancer site through 2032.
Son M, Yun JW.
europepmc   +3 more sources

Bayesian Mixture Modelling for Mortality Projection [PDF]

open access: yesRisks, 2021
Although a large number of mortality projection models have been proposed in the literature, relatively little attention has been paid to a formal assessment of the effect of model uncertainty. In this paper, we construct a Bayesian framework for embedding more than one mortality projection model and utilise the finite mixture model concept to allow ...
Jackie Li, Atsuyuki Kogure
openaire   +3 more sources

Mortality and refusal in the longitudinal 90+ project [PDF]

open access: yesArchives of Gerontology and Geriatrics, 2011
Attrition is one of the most important threats for longitudinal studies on aging mainly due to refusal and mortality. This study deals with those individuals who were assessed in the base line of 90+ project but died, dropped out or were examined in the follow-up.
Fernández-Ballesteros, Rocío   +5 more
openaire   +3 more sources

Mortality projections in Portugal [PDF]

open access: yesInsurance: Mathematics and Economics, 2012
Population forecasts are used for important policy decisions both in the public and private sector. Forecasts produced using the cohort-component method requires, for each cohort, a projection of the fertility, migration and mortality components. In this paper we describe the methodology used in the projection of the component mortality within the 2008
Bravo, Bravo   +2 more
openaire   +5 more sources

Projection of lung cancer mortality in Japan [PDF]

open access: yesCancer Science, 2003
According to the National Vital Statistics data, age‐standardized mortality rates (ASRs) of lung cancer have shown slightly declining trends in Japan for both men and women. In order to evaluate whether this tendency will continue, a Bayesian age‐period‐cohort (APC) model was applied using the National Vital Statistics data from 1952 to 2001.
Satoshi, Kaneko   +7 more
openaire   +2 more sources

Projecting Mortality Rates Using a Markov Chain [PDF]

open access: yesMathematics, 2022
We present a mortality model where future stochastic changes in population-wide mortality are driven by a finite-state hierarchical Markov chain. A baseline mortality in an initial ‘Alive’ state is calculated as the average logarithm of the observed mortality rates.
Jaap Spreeuw   +2 more
openaire   +2 more sources

Mortality Projection Based on the Wang Transform [PDF]

open access: yesASTIN Bulletin, 2007
A new method for analysing and projecting mortality is proposed and examined. The method takes observed time series of survival probabilities, finds the corresponding z-scores in the standard normal distribution and forecasts the z-scores. The z-scores appear to follow a common simple linear progression in time and hence forecasting is straightforward.
De Jong, Piet, Marshall, Claymore
openaire   +2 more sources

Projecting delay and compression of mortality [PDF]

open access: yesGenus, 2018
Abstract Background Although mortality delay (the shift of the age-at-death distribution to older ages) and mortality compression (less variability in the age at death) are the key dynamics that drove past mortality trends, they have seldom been included in mortality projections.
Bardoutsos, A., de Beer, J., Janssen, F.
openaire   +5 more sources

Experiments in the Projection of Mortality

open access: yesCanadian Studies in Population, 1991
How fast will mortality fall in the decades ahead? One way of phrasing the question is in terms of past periods: will it be as fast as Canada showed in 1976-81 or only as fast as the average 1921-81 or as slow as 1926-31?...I will argue that the whole matter of projecting mortality comes down to deciding what past period describes the future.... The
openaire   +3 more sources

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