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2026 · Article · The journals of gerontology. Series A, Biological sciences and medical sciences

Improving statistical rigor in animal aging research by addressing clustering and nesting effects: Illustration with the National Institute on Aging's Intervention Testing Program data

Erik S Parker; Lilian Golzarri-Arroyo; Stephanie Dickinson; Beate Henschel; Luis-Enrique Becerra-Garcia; Thirupathi R Mokalla; Olivia C Robertson; Deependra K Thapa; Colby J Vorland; David B Allison

Uses mouse lifespan data from the Interventions Testing Program to show how accounting for cage-level clustering and nesting can change statistical conclusions.

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  • 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.
  • 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.
  • Preprint: PubMed identifies this record as a preprint and PMC serves its full manuscript.
  • Earlier preprint: Matched title / source version grouping.

Publication details

Publication date
2026-04-07
Journal or venue
The journals of gerontology. Series A, Biological sciences and medical sciences
Volume
81
Issue
5
DOI
10.1093/gerona/glag074
PMID
41837372
PMCID
PMC13070610
Language
en
Output type
Article

Research themes

Statistical rigorNutrition & aging

aging · animal-models · preclinical-research

Author affiliations & identifiers
  • Erik S Parker: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, United States. · ORCID 0000-0002-5537-7900
  • Lilian Golzarri-Arroyo: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, United States.
  • Stephanie Dickinson: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, United States.
  • Beate Henschel: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, United States.
  • Luis-Enrique Becerra-Garcia: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, United States. · ORCID 0009-0005-3085-3287
  • Thirupathi R Mokalla: Department of Pediatrics and USDA Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, United States. · ORCID 0000-0002-6329-7206
  • Olivia C Robertson: Department of Pediatrics and USDA Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, United States.
  • Deependra K Thapa: Department of Pediatrics and USDA Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, United States.
  • Colby J Vorland: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, United States. · ORCID 0000-0003-4225-372X
  • David B Allison: Department of Pediatrics and USDA Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, United States.

Preprint & version links

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