The Lee-Carter model is a well-known model in modeling mortality. We aim to compare three probability models (Poisson, negative binomial and binomial) based on the Generalized Linear Model (GLM) framework of the Lee-Carter model. These models are applied to mortality data for 10 selected countries (Japan, United States, United Kingdom, Australia, Sweden, Spain, Belgium, Canada, Netherlands and Bulgaria) and the fit of these models is assessed using the deviance statistics and standardized residuals against fitted value plot. Among these three models, the negative binomial Lee-Carter model gave the best fit based on the deviance statistics and estimates of the log of deaths.
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http://dx.doi.org/10.1080/02664763.2020.1833183 | DOI Listing |
J Eval Clin Pract
February 2025
Public Health Group, College of Nursing, Midwifery and Healthcare, University of West London, London, UK.
Background: Throughout the twentieth century and beyond, a global trend of declining mortality rates and an increase in life expectancies was noted until the onset of the coronavirus disease 2019 (COVID-19) pandemic. A reduction in life expectancies was observed in most countries, including South Asia, during 2020 and 2021 due to the excess mortality caused by the pandemic.
Objective: This study aims to examine the change in life expectancy in selected South Asian countries and the relative change in age- and sex-specific mortality rates over time due to the COVID-19 pandemic.
BMC Med
November 2024
Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Level 2, 32 Lincoln Square North, Melbourne, VIC, 3010, Australia.
Background: In the United States (US), premature cardiovascular disease (CVD) mortality rates (35-74 years) have exhibited increases in recent years, particularly in younger adults, and large differentials by educational attainment. This trend has occurred concurrently with high and increasing obesity prevalence, which also show significant differences by education. This study aims to jointly model premature CVD mortality trends in the US according to obesity status and educational attainment.
View Article and Find Full Text PDFPopul Health Metr
September 2024
Max Planck Institute for Demographic Research, Konrad-Zuse-Str. 1, 18057, Rostock, Germany.
PLoS One
September 2024
Department of Accounting Information, Chihlee University of Technology, New Taipei City, Taiwan, Republic of China.
Lifetime Data Anal
October 2024
Department Mathematics, College of Computing and Mathematics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Forecasting mortality rates is crucial for evaluating life insurance company solvency, especially amid disruptions caused by phenomena like COVID-19. The Lee-Carter model is commonly employed in mortality modelling; however, extensions that can encompass count data with diverse distributions, such as the Generalized Autoregressive Score (GAS) model utilizing the COM-Poisson distribution, exhibit potential for enhancing time-to-event forecasting accuracy. Using mortality data from 29 countries, this research evaluates various distributions and determines that the COM-Poisson model surpasses the Poisson, binomial, and negative binomial distributions in forecasting mortality rates.
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