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Late-life mortality is underestimated because of data errors
Knowledge of true mortality trajectory at extreme old ages is important for biologists who test their theories of aging with demographic data. Studies using both simulation and direct age validation found that longevity records for ages 105 years and older are often incorrect and may lead to spuriou...
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| Veröffentlicht in: | PLoS Biol |
|---|---|
| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6386419/ https://ncbi.nlm.nih.gov/pubmed/30730879 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pbio.3000148 |
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