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

Severine Soltani   1, 2 , BS ;   Varun K Viswanath   3 , PhD ;   Patrick Kasl   2 , PhD ;   Wendy Hartogensis   4 , PhD ;   Stephan Dilchert   5 , PhD ;   Frederick M Hecht   4 , MD ;   Ashley E Mason   4 * , PhD ;   Benjamin L Smarr   2, 6 * , PhD

1 Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, United States

2 Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, United States

3 Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, United States

4 Osher Center for Integrative Health, University of California San Francisco, San Francisco, CA, United States

5 Zicklin School of Business, Baruch College, New York, NY, United States

6 Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, United States

*these authors contributed equally

Corresponding Author:

  • Benjamin L Smarr, PhD
  • Shu Chien-Gene Lay Department of Bioengineering
  • University of California San Diego
  • 9500 Gilman Dr
  • La Jolla, CA 92093
  • United States
  • Phone: 1 (858) 534-2230
  • Email: bsmarr@ucsd.edu