Results 41 to 50 of about 32,817 (302)
Two-Population Mortality Forecasting: An Approach Based on Model Averaging
The analysis of residual life expectancy evolution at retirement age holds great importance for life insurers and pension schemes. Over the last 30 years, numerous models for forecasting mortality have been introduced, and those that allow us to predict ...
Luca De Mori +3 more
doaj +1 more source
Modelos predictivos de la epidemia de COVID-19 en España con curvas de Gompertz
Resumen: Durante la crisis de salud internacional provocada por la pandemia de COVID-19, además de conocer los datos sobre contagios, muertes y ocupación de camas hospitalarias también es necesario hacer predicciones que ayuden a la gestión de la crisis ...
Pablo Sánchez-Villegas +1 more
doaj +1 more source
Bayesian mortality forecasting with overdispersion [PDF]
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Wong, Jackie S.T. +2 more
openaire +4 more sources
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions
We compare the short- to medium-term accuracy of five variants or extensions of the Lee-Carter method for mortality forecasting. These include the original Lee-Carter, the Lee-Miller and Booth-Maindonald-Smith variants, and the more flexible Hyndman ...
Leonie Tickle +3 more
doaj
Improving mortality forecasting using a hybrid of Lee–Carter and stacking ensemble model
Background Mortality forecasting is a critical component in various fields, including public health, insurance, and pension planning, where accurate predictions are essential for informed decision-making.
Samuel Asante Gyamerah +3 more
doaj +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Affine Mortality Models with Jumps: Parameter Estimation and Forecasting
In this paper, we investigate the dynamics of age-cohort survival curves under the assumption that the instantaneous mortality intensity is driven by an affine jump-diffusion (AJD) process. Advantages of an AJD specification of mortality dynamics include
Garces, Len Patrick ; https://orcid.org/ +3 more
core
Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions [PDF]
We compare the short- to medium-term accuracy of five variants or extensions of the Lee-Carter method for mortality forecasting. These include the original Lee-Carter, the Lee-Miller and Booth-Maindonald-Smith variants, and the more flexible Hyndman ...
Heather Booth +3 more
core +2 more sources

