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2022 · Review · The journals of gerontology. Series A, Biological sciences and medical sciences

From Model Organisms to Humans, the Opportunity for More Rigor in Methodologic and Statistical Analysis, Design, and Interpretation of Aging and Senescence Research

Daniella E Chusyd; Steven N Austad; Andrew W Brown; Xiwei Chen; Stephanie L Dickinson; Keisuke Ejima; David Fluharty; Lilian Golzarri-Arroyo; Richard Holden; Yasaman Jamshidi-Naeini; Doug Landsittel; Stella Lartey; Edward Mannix; Colby J Vorland; David B Allison

Reviews recurring design, statistical, and interpretation problems in aging research and offers recommendations for more rigorous studies.

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Resource verification & source notes
  • Free full text (PMC): The complete article body was retrieved from the public NCBI PMC JATS endpoint. This confirms free access; reuse permissions depend on the individual article license.

Publication details

Publication date
2022-11-21
Journal or venue
The journals of gerontology. Series A, Biological sciences and medical sciences
Volume
77
Issue
11
Pages / article number
2155-2164
DOI
10.1093/gerona/glab382
PMID
34950945
PMCID
PMC9678201
Language
en
Output type
Review

Research themes

Statistical rigorNutrition & aging

aging · preclinical-research

Author affiliations & identifiers
  • Daniella E Chusyd: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA.
  • Steven N Austad: Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA.; Nathan Shock Center, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Andrew W Brown: Department of Applied Health Science, Indiana University Bloomington, Bloomington, Indiana, USA. · ORCID 0000-0002-1758-8205
  • Xiwei Chen: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA.
  • Stephanie L Dickinson: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA.
  • Keisuke Ejima: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA. · ORCID 0000-0002-1185-3987
  • David Fluharty: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA.; Departments of Mathematics and Economics, Ivy Tech Community College, Columbus, Indiana, USA.
  • Lilian Golzarri-Arroyo: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA.
  • Richard Holden: Department of Health and Wellness Design, Indiana University Bloomington, Bloomington, Indiana, USA.
  • Yasaman Jamshidi-Naeini: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA.
  • Doug Landsittel: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA.
  • Stella Lartey: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA.
  • Edward Mannix: Department of Anatomy, Cell Biology, and Physiology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Colby J Vorland: Department of Applied Health Science, Indiana University Bloomington, Bloomington, Indiana, USA. · ORCID 0000-0003-4225-372X
  • David B Allison: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA.
Source notes
  • CV abbreviates the ordered author list with ellipses; replace with complete authoritative list before displaying full authors.

Metadata sources: PubMed, OpenAlex, CV, Google Scholar. Classification is an editorial interpretation of the title, abstract, and supplied CV.