Accelerating Research With Technology: Rapid Recruitment for a Large-Scale Web-Based Sleep Study

Accelerating Research With Technology: Rapid Recruitment for a Large-Scale Web-Based Sleep Study

Accelerating Research With Technology: Rapid Recruitment for a Large-Scale Web-Based Sleep Study

Journals

  1. Germine L, Strong R, Singh S, Sliwinski M. Toward dynamic phenotypes and the scalable measurement of human behavior. Neuropsychopharmacology 2021;46(1):209 View
  2. Lalloo C, Pham Q, Cafazzo J, Stephenson E, Stinson J. A ResearchKit app to deliver paediatric electronic consent: Protocol of an observational study in adolescents with arthritis. Contemporary Clinical Trials Communications 2020;17:100525 View
  3. Leger D, Guilleminault C. Environmental open-source data sets and sleep-wake rhythms of populations: an overview. Sleep Medicine 2020;69:88 View
  4. Marquis-Gravel G, Roe M, Turakhia M, Boden W, Temple R, Sharma A, Hirshberg B, Slater P, Craft N, Stockbridge N, McDowell B, Waldstreicher J, Bourla A, Bansilal S, Wong J, Meunier C, Kassahun H, Coran P, Bataille L, Patrick-Lake B, Hirsch B, Reites J, Mehta R, Muse E, Chandross K, Silverstein J, Silcox C, Overhage J, Califf R, Peterson E. Technology-Enabled Clinical Trials. Circulation 2019;140(17):1426 View
  5. Deering S, Pratap A, Suver C, Borelli A, Amdur A, Headapohl W, Stepnowsky C. Real-world longitudinal data collected from the SleepHealth mobile app study. Scientific Data 2020;7(1) View
  6. Shapiro A, Marinsek N, Clay I, Bradshaw B, Ramirez E, Min J, Trister A, Wang Y, Althoff T, Foschini L. Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data. Patterns 2021;2(1):100188 View