Related Experiment Video
Updated: Mar 7, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
Published on: July 22, 2025
Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble.
Vasilis Kontis1, James E Bennett1, Colin D Mathers2
1Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
Future life expectancy projections show significant increases, with a high probability of women exceeding 90 years by 2030. These findings highlight the need for proactive planning in health and pension services.
Area of Science:
- Demography
- Public Health
- Gerontology
Background:
- Accurate mortality and life expectancy forecasts are crucial for planning health services, social support, and pension systems.
- Uncertainty in forecasting model selection necessitates robust projection methods.
Purpose of the Study:
- To forecast national age-specific mortality and life expectancy.
- To incorporate model uncertainty into future projections for 35 industrialized nations.
Main Methods:
- Developed an ensemble of 21 forecasting models for probabilistic projections.
- Applied age-specific death rates and life table methods to project mortality and life expectancy to 2030.
- Calculated life expectancy at birth, at age 65, and probability of dying before age 70.
Main Results:
- Life expectancy is projected to increase in all 35 countries (≥65% probability for women, ≥85% for men).
- South Korean women have a high probability (90%) of exceeding 86.7 years by 2030, with a 57% chance of surpassing 90 years.
- The female life expectancy advantage is expected to decrease in most countries, with significant longevity gains attributed to increased survival after age 65.
Conclusions:
- National female life expectancy may surpass 90 years by 2030, challenging previous assumptions.
- Projections indicate continued increases in longevity, underscoring the need for adaptive planning in social services and pensions.
Related Concept Videos
Life Tables
Applications of Life Tables
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Assumptions of Survival Analysis
