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This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (3963) Cardiology (289) Statistical Methods (45) Longitudinal and Cohort Studies in Public Health (962) Statistical Methods for Surveillance and Population Health (268)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60284, first published .
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Testing the Impact of Intensive, Longitudinal Sampling on Assessments of Statistical Power and Effect Size Within a Heterogeneous Human Population: Natural Experiment Using Change in Heart Rate on Weekends as a Surrogate Intervention

Testing the Impact of Intensive, Longitudinal Sampling on Assessments of Statistical Power and Effect Size Within a Heterogeneous Human Population: Natural Experiment Using Change in Heart Rate on Weekends as a Surrogate Intervention

Authors of this article:

Severine Soltani1, 2 Author Orcid Image ;   Varun K Viswanath3 Author Orcid Image ;   Patrick Kasl2 Author Orcid Image ;   Wendy Hartogensis4 Author Orcid Image ;   Stephan Dilchert5 Author Orcid Image ;   Frederick M Hecht4 Author Orcid Image ;   Ashley E Mason4 Author Orcid Image ;   Benjamin L Smarr2, 6 Author Orcid Image
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Journals

  1. Viswanath V, Navaneethan S, Burks J, Soltani S, Kasl P, Hartogensis W, Dilchert S, Hecht F, Mason A, Wang E, Smarr B. Sleep and temperature data from wearable devices support noninvasive detection of diabetes mellitus in a large-scale, retrospective analysis. Communications Medicine 2026;6(1) View
  2. Hughes A, Taylor D, Morris P, Brittain E. Wearable devices and cardiovascular health: revolutionizing remote monitoring and disease prevention. European Heart Journal 2026;47(18):2130 View
  3. Park S, Cho H, Song Y, Kim J, Tian C, Baek C, Hyung S, Shin Y, Yoon S, Cho S. Blood Cell Biophysical Trajectories Reveal Response to CAR-T Therapy in Diffuse Large B-Cell Lymphoma. ACS Sensors 2026;11(10):9644 View