Children’s Nutrition Research Center Staff Publications
Language
English
Publication Date
12-1-2022
Journal
Nature Aging
DOI
10.1038/s43587-022-00333-6
PMID
37063472
PMCID
PMC10099485
PubMedCentral® Posted Date
4-13-2023
PubMedCentral® Full Text Version
Author MSS
Abstract
Investigators traditionally use randomized designs and corresponding analysis procedures to make causal inferences about the effects of interventions, assuming independence between an individual's outcome and treatment assignment and the outcomes of other individuals in the study. Often, such independence may not hold. We provide examples of interdependency in model organism studies and human trials and group effects in aging research and then discuss methodologic issues and solutions. We group methodologic issues as they pertain to (1) single-stage individually randomized trials; (2) cluster-randomized controlled trials; (3) pseudo-cluster-randomized trials; (4) individually randomized group treatment; and (5) two-stage randomized designs. Although we present possible strategies for design and analysis to improve the rigor, accuracy and reproducibility of the science, we also acknowledge real-world constraints. Consequences of nonadherence, differential attrition or missing data, unintended exposure to multiple treatments and other practical realities can be reduced with careful planning, proper study designs and best practices.
Keywords
Humans, Animals, Mice, Geroscience, Reproducibility of Results, Random Allocation, Causality
Published Open-Access
yes
Recommended Citation
Chusyd, Daniella E; Austad, Steven N; Dickinson, Stephanie L; et al., "Randomization, Design and Analysis for Interdependency in Aging Research: No Person or Mouse Is an Island" (2022). Children’s Nutrition Research Center Staff Publications. 218.
https://digitalcommons.library.tmc.edu/staff_pub/218
Included in
Biochemical Phenomena, Metabolism, and Nutrition Commons, Dietetics and Clinical Nutrition Commons, Endocrinology, Diabetes, and Metabolism Commons, Nutrition Commons