Results 61 to 70 of about 29,424 (169)

Covariate-stratified analysis of prostate cancer and competing risk mortality in Ghana: A bootstrapped survival analysis approach

open access: yesScientific African
Prostate cancer remains a major health concern in sub-Saharan Africa, where late-stage presentation and comorbidities complicate survival estimation and treatment planning.
Senyefia Bosson-Amedenu   +5 more
doaj   +1 more source

Construction of Mortality Rate Using Heligman Pollard Model [PDF]

open access: yesITM Web of Conferences
The idea of constructing a mortality table lies in reflecting the mortality changes of the member of the study population. This study proposed a construction of the mortality table for male and female participants using the Heligman Pollard model and was
Sari Kurnia Novita   +3 more
doaj   +1 more source

Forecasting Carbon Prices: A Literature Review

open access: yesJournal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis   +2 more
wiley   +1 more source

Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization

open access: yesBMC Cancer
Background Frailty models are extensively utilized in survival analysis to address unobserved heterogeneity among individuals. However, selecting the most robust model for survival prediction, especially in the context of high-dimensional data, continues
Senyefia Bosson-Amedenu   +3 more
doaj   +1 more source

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

Estimation of Daily Smoking Prevalence for Disaggregated Statistical Areas in Australia

open access: yesAustralian &New Zealand Journal of Statistics, Volume 68, Issue 1, March 2026.
ABSTRACT Motivated by the need to estimate prevalence at multiple disaggregated level hierarchies, rather than only one, this study extends widely used area‐level models in Bayesian and frequentist framework. We propose adding additional unstructured random effects at higher level disaggregated domains to the traditional models. Using our extension, we
Sumonkanti Das   +4 more
wiley   +1 more source

Lee Carter mortality forecasting: application to the Italian population [PDF]

open access: yes, 2005
In this paper we investigate the feasibility of using the Lee-Carter methodology to construct mortality forecasts for the Italian population. We fit the model to the matrix of Italian death rates for each gender from 1950 to 2000. A time-varying index of
Haberman, S., Russolillo, M.
core  

Portfolio Optimization for Pension Purposes: Literature Review

open access: yesJournal of Economic Surveys, Volume 40, Issue 1, Page 45-72, February 2026.
ABSTRACT This systematic review identifies persistent challenges and gaps in the literature on pension portfolio optimization models. We searched, selected, and critically analyzed 82 articles from three major academic databases published over the past decade to investigate the barriers to the effective implementation of these models.
Leonardo Moreira   +2 more
wiley   +1 more source

Longevity impact on life insurers in low interest rate environment [PDF]

open access: yes, 2018
This paper aims at shedding some light on the interplay between two key risk factors affecting most life insurance products, namely biometric and investment risk. We enhance the pioneering model by Briys and de Varenne, featuring a stylized participating
Bacinello, A. R.   +2 more
core  

Models in Decision‐Making Under Risk and Uncertainty

open access: yesJournal of Economic Surveys, Volume 40, Issue 1, Page 304-320, February 2026.
ABSTRACT This paper systematically compares dominant frameworks for modeling decision‐making under risk and uncertainty, evaluating their theoretical trade‐offs and practical relevance for economic research. We establish key criteria for model selection—including predictive accuracy, descriptive realism, computational tractability, and ecological ...
Martin Höppner
wiley   +1 more source

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