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

Clinical Information and Decision Making (2066) Longitudinal and Cohort Studies in Public Health (437) Cardiology (238) Statistical Methods (33) Statistical Methods for Surveillance and Population Health (194)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60284, first published .
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

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 View