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Response to comment on 'Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age'

For most adult mammals, the risk of death increases exponentially with age, an observation originally described for humans by Benjamin Gompertz. We recently performed a Kaplan–Meier survival analysis of naked mole-rats (Heterocephalus glaber) and concluded that their risk of death remains constant a...

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Detalles Bibliográficos
Autores principales: Ruby, J Graham, Smith, Megan, Buffenstein, Rochelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615856/
https://www.ncbi.nlm.nih.gov/pubmed/31287059
http://dx.doi.org/10.7554/eLife.47047
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author Ruby, J Graham
Smith, Megan
Buffenstein, Rochelle
author_facet Ruby, J Graham
Smith, Megan
Buffenstein, Rochelle
author_sort Ruby, J Graham
collection PubMed
description For most adult mammals, the risk of death increases exponentially with age, an observation originally described for humans by Benjamin Gompertz. We recently performed a Kaplan–Meier survival analysis of naked mole-rats (Heterocephalus glaber) and concluded that their risk of death remains constant as they grow older (Ruby et al., 2018). Dammann et al. suggest incomplete historical records potentially confounded our demographic analysis (Dammann et al., 2019). In response, we applied the left-censorship technique of Kaplan and Meier to exclude all data from the historical era in which they speculate the records to be confounded. Our new analysis produced indistinguishable results from what we had previously published, and thus strongly reinforced our original conclusions.
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spelling pubmed-66158562019-07-11 Response to comment on 'Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age' Ruby, J Graham Smith, Megan Buffenstein, Rochelle eLife Ecology For most adult mammals, the risk of death increases exponentially with age, an observation originally described for humans by Benjamin Gompertz. We recently performed a Kaplan–Meier survival analysis of naked mole-rats (Heterocephalus glaber) and concluded that their risk of death remains constant as they grow older (Ruby et al., 2018). Dammann et al. suggest incomplete historical records potentially confounded our demographic analysis (Dammann et al., 2019). In response, we applied the left-censorship technique of Kaplan and Meier to exclude all data from the historical era in which they speculate the records to be confounded. Our new analysis produced indistinguishable results from what we had previously published, and thus strongly reinforced our original conclusions. eLife Sciences Publications, Ltd 2019-07-09 /pmc/articles/PMC6615856/ /pubmed/31287059 http://dx.doi.org/10.7554/eLife.47047 Text en © 2019, Ruby et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Ecology
Ruby, J Graham
Smith, Megan
Buffenstein, Rochelle
Response to comment on 'Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age'
title Response to comment on 'Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age'
title_full Response to comment on 'Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age'
title_fullStr Response to comment on 'Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age'
title_full_unstemmed Response to comment on 'Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age'
title_short Response to comment on 'Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age'
title_sort response to comment on 'naked mole-rat mortality rates defy gompertzian laws by not increasing with age'
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615856/
https://www.ncbi.nlm.nih.gov/pubmed/31287059
http://dx.doi.org/10.7554/eLife.47047
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