Results 91 to 100 of about 114,749 (302)
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
Mortality modelling with arrival of additional year of mortality data: Calibration and forecasting [PDF]
BACKGROUND: For commonly used mortality models, the existing estimates change with the recalibration of new data. This issue is also known as the lack of the new-data-invariant property.
Kenny Kam Kuen Mok +3 more
doaj +1 more source
International COVID-19 mortality forecast visualization: covidcompare.io. [PDF]
Akre S, Liu PY, Friedman JR, Bui AAT.
europepmc +1 more source
Forecasting Mortality Rate Using a Neural Network with Fuzzy Inference System [PDF]
Various methods have been developed to improve mortality forecasts. The authors proposed a neuro-fuzzy model to forecast the mortality. The forecasting of mortality is curried out by an ANFIS model which uses a first order Sugeno-type FIS.
Camelia Ioana Ucenic +4 more
core
Rural Depopulation in a Rapidly Urbanizing America [PDF]
In this brief, authors Kenneth Johnson and Daniel Lichter examine demographic trends in rural America, a region often overlooked in a nation dominated by urban interests.
Johnson, Kenneth, Lichter, Daniel
core +1 more source
Forecasting Method for Grouped Time Series with the Use of k-Means Algorithm
The paper is focused on the forecasting method for time series groups with the use of algorithms for cluster analysis. $K$-means algorithm is suggested to be a basic one for clustering.
Astakhova, N. N. +2 more
core +1 more source
Predicting mortality is a major challenge for both demographers and actuaries. The latter need to anticipate various future mortality scenarios with the greatest possible accuracy, as in the case of annuities pricing and longevity risk assessments. However, the current wide range of stochastic mortality models highlights some deficiencies in predicting
openaire +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
Forecasting age-related changes in breast cancer mortality among white and black US women: A functional approach [PDF]
The disparity in breast cancer mortality rates among white and black US women is widening with higher mortality rates among black women. We apply functional time series models on age-specific breast cancer mortality rates for each group of women, and ...
Bircan Erbas +2 more
core
FORECASTING MORTALITY: SOME RECENT DEVELOPMENTS
Forecasting mortality has been a vital issue in demography and actuarial science. It also has profound implications for pension plan and long-term economic forecasts of the nation. In the present paper we examine various forecasting methods for mortality in the framework of cointegrated time series analysis. The Lee-Carter (LC) method has been regarded
Taku Yamamoto, Hiroaki Chigira
openaire +2 more sources

