Statistical Methods in Aging Research: Improving Current Practices and Embracing Emerging Approaches
Language
English
Publication Date
3-1-2026
Journal
Annual Review of Statistics and Its Application
DOI
10.1146/annurev-statistics-042324-060005
PMID
42130610
PMCID
PMC13166127
PubMedCentral® Posted Date
5-13-2026
PubMedCentral® Full Text Version
Author MSS
Abstract
Aging research relies on varied statistical methods, and applying these methods appropriately is important for scientific rigor. However, proper use of these statistical techniques is a challenge. We discuss two categories of statistical methods in aging research: (a) emerging methods requiring further validation, including techniques to examine compression of morbidity, maximum lifespan, immortal time bias, molecular aging clocks, and treatment response heterogeneity, and (b) classic and existing methods needing reconsideration and improvement, such as stepwise regression, generalized linear models, methods for accounting for clustering and nesting effects, methods for testing for group differences, methods for mediation and moderation analyses, and nonlinear models. For each method, we review its relevance to aging research, highlight statistical issues, and suggest improvements or alternatives with examples from aging research. We urge researchers to refine traditional approaches and embrace emerging methods tailored to the unique challenges of aging research. This review will help researchers identify and apply sound statistical methods, thereby improving statistical rigor in aging research.
Keywords
aging research, compression of morbidity, data analysis, geroscience, statistical methods, statistical rigor
Published Open-Access
yes
Recommended Citation
Thapa, Deependra K; Parker, Erik S; Kandukuri, Mounika; et al., "Statistical Methods in Aging Research: Improving Current Practices and Embracing Emerging Approaches" (2026). Faculty, Staff and Students Publications. 7716.
https://digitalcommons.library.tmc.edu/baylor_docs/7716