We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
From Model Organisms to Humans, the Opportunity for More Rigor in Methodologic and Statistical Analysis, Design, and Interpretation of Aging and Senescence Research.
- Authors
Chusyd, Daniella E; Austad, Steven N; Brown, Andrew W; Chen, Xiwei; Dickinson, Stephanie L; Ejima, Keisuke; Fluharty, David; Golzarri-Arroyo, Lilian; Holden, Richard; Jamshidi-Naeini, Yasaman; Landsittel, Doug; Lartey, Stella; Mannix, Edward; Vorland, Colby J; Allison, David B
- Abstract
This review identifies frequent design and analysis errors in aging and senescence research and discusses best practices in study design, statistical methods, analyses, and interpretation. Recommendations are offered for how to avoid these problems. The following issues are addressed: (a) errors in randomization, (b) errors related to testing within-group instead of between-group differences, (c) failing to account for clustering, (d) failing to consider interference effects, (e) standardizing metrics of effect size, (f) maximum life-span testing, (g) testing for effects beyond the mean, (h) tests for power and sample size, (i) compression of morbidity versus survival curve squaring, and (j) other hot topics, including modeling high-dimensional data and complex relationships and assessing model assumptions and biases. We hope that bringing increased awareness of these topics to the scientific community will emphasize the importance of employing sound statistical practices in all aspects of aging and senescence research.
- Publication
Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2022, Vol 77, Issue 11, p2155
- ISSN
1079-5006
- Publication type
Article
- DOI
10.1093/gerona/glab382