Reproducibility and replicability of high-frequency, in-home digital biomarkers in reducing sample sizes for clinical trials

Chao Yi Wu, Zachary Beattie, Nora Mattek, Nicole Sharma, Jeffrey Kaye, Hiroko H. Dodge

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Reproducibility and replicability of results are rarely achieved for digital biomarkers analyses. We reproduced and replicated previously reported sample size estimates based on digital biomarker and neuropsychological test outcomes in a hypothetical 4-year early-phase Alzheimer's disease trial. Methods: Original data and newly collected data (using a different motion sensor) came from the Oregon Center for Aging & Technology (ORCATECH). Given trajectories of those with incident mild cognitive impairment and normal cognition would represent trajectories of the control and experimental groups in a hypothetical trial, sample sizes to provide 80% power to detect effect sizes ranging from 20% to 50% were calculated. Results: For the reproducibility, identical P-values and slope estimates were found with both digital biomarkers and neuropsychological test measures between the previous and current studies. As for the replicability, a greater correlation was found between original and replicated sample size estimates for digital biomarkers (r = 0.87, P <.001) than neuropsychological test outcomes (r = 0.75, P <.001). Discussion: Reproducibility and replicability of digital biomarker analyses are feasible and encouraged to establish the reliability of findings.

Original languageEnglish (US)
Article numbere12220
JournalAlzheimer's and Dementia: Translational Research and Clinical Interventions
Volume7
Issue number1
DOIs
StatePublished - 2021
Externally publishedYes

ASJC Scopus subject areas

  • Clinical Neurology
  • Psychiatry and Mental health

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