Results 81 to 90 of about 110,803 (293)

Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods

open access: yesDemographic Research, 2011
Using the age- and sex-specific data of 14 developed countries, we compare the point and interval forecast accuracy and bias of ten principal component methods for forecasting mortality rates and life expectancy.
Han Lin Shang   +2 more
doaj  

Evaluation of simple methods for regional mortality forecasts

open access: yesGenus, 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
doaj   +1 more source

Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods [PDF]

open access: yes
Using the age- and sex-specific data of 14 developed countries, we compare the point and interval forecast accuracy and bias of ten principal component methods for forecasting mortality rates and life expectancy.
Han Lin Shang   +2 more
core  

llc: a collection of R functions for fitting a class of Lee-Carter mortality models using iterative fitting algorithms [PDF]

open access: yes, 2009
We implement a specialised iterative regression methodology in R for the analysis of age-period mortality data based on a class of generalised Lee-Carter (LC) type modelling structures.
Butt, Z., Haberman, S.
core  

Molecular cancer prevention: Intercepting disease

open access: yesMolecular Oncology, EarlyView.
Oncological practice must evolve, from treating established tumours to proactive cancer interception before clinical manifestation. This will require mechanistic insight into tumour initiation, validated biomarkers of early disease development and redesigned clinical trials, enabling cancer interception to become a core pillar of oncology with the ...
Charlotte Grieco   +2 more
wiley   +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  

A State-Space Estimation of the Lee-Carter Mortality Model and Implications for Annuity Pricing

open access: yes, 2015
In this article we investigate a state-space representation of the Lee-Carter model which is a benchmark stochastic mortality model for forecasting age-specific death rates.
Fung, Man Chung   +2 more
core   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

open access: yesMolecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary   +1 more
wiley   +1 more source

The impact of the choice of life table statistics when forecasting mortality

open access: yesDemographic Research, 2019
Background: Different ways to forecast mortality have been suggested, with many forecasting models based on the extrapolation of age-specific death rates.
Marie-Pier Bergeron-Boucher   +3 more
doaj   +1 more source

Time Series Properties and Stochastic Forecasts: Some Econometrics of Mortality from the Canadian Laboratory [PDF]

open access: yes
Methods for time series modeling of mortality and stochastic forecasting of life expectancies are explored, using Canadian data. Consideration is given first to alternative indexes of aggregate mortality.
Byron G. Spencer   +2 more
core  

Home - About - Disclaimer - Privacy