ArticlePopulation research and policy review2023
Mortality Modeling of Partially Observed Cohorts Using Administrative Death Records.
Article in Population research and policy review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Early life healthcare access and later-life mortality: Evidence using openings of county health departments.Economics and human biology · 2026Article
- Article
- An Overlapping Cohorts Perspective of Lifespan Inequality.Demography · 2025Article
- The Immigrant Mortality Advantage Among Over-65 Middle Eastern and North African Immigrants to the United States.Journal of immigrant and minority health · 2024Article
- The Longevity Benefits of Homeownership: Evidence From Early Twentieth-Century U.S. Male Birth Cohorts.Demography · 2024Article
- Individual-Level Exposure to Residential Redlining in 1940 and Mortality Risk.JAMA internal medicine · 2024Article
- CenSoc: Public Linked Administrative Mortality Records for Individual-level Research.Scientific data · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
New advances in data linkage provide mortality researchers with access to administrative datasets with millions of mortality records and rich demographic covariates. Although these new datasets allow for high-resolution mortality research, administrative mortality records often have technical limitations, such as limited mortality coverage windows and incomplete observation of survivors. We describe a method for fitting truncated distributions that can be used for estimating mortality differentials in administrative data. We apply this method to the CenSoc datasets, which link the United States 1940 Census records to Social Security administrative mortality records. Our approach may be useful in other contexts where administrative data on deaths are available. As a companion to the paper, we release the R package
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.