Results 11 to 20 of about 29,512 (260)
Risks, 2023 Stochastic mortality models seek to forecast future mortality rates; thus, it is apparent that the objective variable should be the mortality rate expressed in the original scale. However, the performance of stochastic mortality models—in terms, that is,
Miguel Santolino
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Applied Sciences, 2022 The ongoing pandemic has resulted in the development of models dealing with the rate of virus spread and the modelling of mortality rates μx,t. A new method of modelling the mortality rates μx,t with different time intervals of higher and lower ...
Piotr Sliwka, Leslaw Socha
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Risks, 2017 This work proposes a backtesting analysis that compares the Lee–Carter and the Cairns–Blake–Dowd mortality models, employing Italian data. The mortality data come from the Italian National Statistics Institute (ISTAT) database and span the period 1975 ...
Carlo Maccheroni, Samuel Nocito
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Identification and Forecasting in Mortality Models [PDF]
The Scientific World Journal, 2014 Mortality models often have inbuilt identification issues challenging the statistician. The statistician can choose to work with well-defined freely varying parameters, derived as maximal invariants in this paper, or with ad hoc identified parameters which at first glance seem more intuitive, but which can introduce a number of unnecessary challenges ...
Bent Nielsen, Jens P. Nielsen
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Predicting the outcome of myocardial infarction in elderly and senile patients with type 2 diabetes
Медицинский совет, 2015 Diabetes mellitus (DM) is a relevant problem today. The extremely high prevalence, progressive course, multiple severe, sometimes disabling, complications, premature mortality, heavy financial burden - this is an incomplete list of the socio-economic ...
A. L. Terekhova +3 more
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COVID-19: How to make between-country comparisons
International Journal of Infectious Diseases, 2020 Background: Different countries have adopted different containment and testing strategies for SARS-CoV-2. The difference in testing makes it difficult to compare the effect of different containment strategies.
Rutger A. Middelburg, Frits R. Rosendaal
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Advances in mortality forecasting: introduction [PDF]
Genus, 2018 Mortality forecasts are essential for predicting the future extent of population ageing, and for determining the sustainability of pension schemes and social security systems. They are also useful in setting life insurance premiums, and in helping governments plan for the changing needs of their societies for health care and other services (European ...
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Evaluation of simple methods for regional mortality forecasts
Genus, 2018 Background In recent decades, considerable research effort has been dedicated to improving mortality forecasting methods. While making valuable contributions to the literature, the bulk of this research has focused on national populations—yet much ...
Tom Wilson
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Coherent forecasts of mortality with compositional data analysis
Demographic Research, 2017 Background: Mortality trends for subpopulations, e.g., countries in a region or provinces in a country, tend to change similarly over time. However, when forecasting subpopulations independently, the forecast mortality trends often diverge.
Marie-Pier Bergeron-Boucher +3 more
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Evaluation of Lee–Carter model to breast cancer mortality prediction in China and Pakistan
Frontiers in Oncology, 2023 BackgroundPrecise breast cancer–related mortality forecasts are required for public health program and healthcare service planning. A number of stochastic model–based approaches for predicting mortality have been developed.
Sumaira Mubarik +4 more
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