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Reproducibility and replicability of high-frequency, in-home digital biomarkers in reducing sample sizes for clinical
Chao-Yi Wu1,2, Zachary Beattie1,2, Nora Mattek1,2
1Department of Neurology Oregon Health & Science University (OHSU) Portland Oregon USA.
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.
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