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Updated: Dec 17, 2025

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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
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All The Same? On a Certain Pattern in Cross-National Death Risk.
1Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
Summary
Nations with lower mortality risks in one area often have lower risks in others. This study reveals significant differences in national "safety status," with the safest countries losing nearly three decades less lifespan due to premature death compared to the least safe.
Area of Science:
- Public Health
- Epidemiology
- Global Health
Background:
- Nations exhibit varying mortality risk profiles across different causes of death.
- Understanding cross-national patterns in mortality risk is crucial for global health strategies.
Purpose of the Study:
- To investigate the correlation between different mortality risk factors across nations.
- To develop metrics for assessing a nation's overall "safety status" based on premature death causes.
- To explore socioeconomic determinants of national safety status.
Main Methods:
- Utilized 2016 Global Burden of Disease (GBD) Study data for 26 large nations and 15 clusters of smaller nations.
- Analyzed six specific causes of premature death: transport accidents, other accidents, homicide, early-childhood diseases, communicable diseases, and noncommunicable diseases.
- Estimated lifespan reductions for each cause relative to natural lifespan and calculated correlations across all cause pairings.
Main Results:
- Significant positive correlations were found between all 15 pairings of the six mortality risk causes.
- Developed metrics for national "safety status" revealed a lifespan difference of nearly three decades between the safest and least safe countries.
- National safety status strongly correlated with GDP per capita (PPP) and income inequality (Gini coefficient).
Conclusions:
- Mortality risks across different causes are interconnected within nations.
- Significant disparities in national safety status exist globally, linked to economic and social factors.
- Economic development and reduced income inequality appear to contribute to a nation's overall safety and longevity.
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