Modeling Age-Adjusted Mortality in the United States
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866908775568375808 |
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| author | Dunbar, Brandon Pramanik, Paramahansa Robinson, Haley Kate |
| author_facet | Dunbar, Brandon Pramanik, Paramahansa Robinson, Haley Kate |
| contents | This research explores how total mortality figures relate to age-standardized death rates within the United States, using the complete historical record of national mortality statistics. Through a detailed investigation of both all-cause and cause-specific mortality trends, the study evaluates the impact of demographic standardization on interpreting mortality data across different time periods and geographic regions. Results indicate a robust and persistent association between crude death totals and age-adjusted rates. However, the findings also demonstrate that without adjusting for age, comparisons over time or across locations may misrepresent underlying epidemiological shifts, largely due to evolving population age structures. The study underscores the critical role of age adjustment as a methodological tool for generating accurate, interpretable, and comparable measures of public health outcomes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_13504 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Modeling Age-Adjusted Mortality in the United States Dunbar, Brandon Pramanik, Paramahansa Robinson, Haley Kate Other Quantitative Biology This research explores how total mortality figures relate to age-standardized death rates within the United States, using the complete historical record of national mortality statistics. Through a detailed investigation of both all-cause and cause-specific mortality trends, the study evaluates the impact of demographic standardization on interpreting mortality data across different time periods and geographic regions. Results indicate a robust and persistent association between crude death totals and age-adjusted rates. However, the findings also demonstrate that without adjusting for age, comparisons over time or across locations may misrepresent underlying epidemiological shifts, largely due to evolving population age structures. The study underscores the critical role of age adjustment as a methodological tool for generating accurate, interpretable, and comparable measures of public health outcomes. |
| title | Modeling Age-Adjusted Mortality in the United States |
| topic | Other Quantitative Biology |
| url | https://arxiv.org/abs/2601.13504 |