Results 91 to 100 of about 114,749 (302)

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
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]

open access: yesDemographic Research
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

Forecasting Mortality Rate Using a Neural Network with Fuzzy Inference System [PDF]

open access: yes
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]

open access: yes, 2019
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

open access: yes, 2015
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

Mortality neural forecasting

open access: yes, 2021
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

open access: yesMolecular Oncology, EarlyView.
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]

open access: yes
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

open access: yesProceedings of the 33rd International Academic Conference, Vienna, 2017
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

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