Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12641, first published .
Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations

Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations

Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations

Journals

  1. Wang Y, Schork N. Power and Design Issues in Crossover-Based N-Of-1 Clinical Trials with Fixed Data Collection Periods. Healthcare 2019;7(3):84 View
  2. Penrod N, Moore J. Why mind-body medicine is poised to set a new standard for clinical research. Journal of Clinical Epidemiology 2019;116:167 View
  3. Pryss R, Schlee W, Hoppenstedt B, Reichert M, Spiliopoulou M, Langguth B, Breitmayer M, Probst T. Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(6):e15547 View
  4. Tang J, Landes R, Hutson A. Some t-tests for N-of-1 trials with serial correlation. PLOS ONE 2020;15(2):e0228077 View
  5. Chaikijurajai T, Laffin L, Tang W. Artificial Intelligence and Hypertension: Recent Advances and Future Outlook. American Journal of Hypertension 2020 View
  6. Blackston J, Chapple A, McGree J, McDonald S, Nikles J. Comparison of Aggregated N-of-1 Trials with Parallel and Crossover Randomized Controlled Trials Using Simulation Studies. Healthcare 2019;7(4):137 View
  7. Hendrickson R, Thomas R, Schork N, Raskind M. Optimizing Aggregated N-Of-1 Trial Designs for Predictive Biomarker Validation: Statistical Methods and Theoretical Findings. Frontiers in Digital Health 2020;2 View
  8. Landes R. Comment on “Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations”. Journal of Medical Internet Research 2020;22(9):e16179 View
  9. Vakiel P, Dennison C, Shekarforoush M, Scott M, Hart D, Shrive N. Measuring the Internal Stress in Ovine Meniscus During Simulated In Vivo Gait Kinematics: A Novel Method Using Fibre Optic Technology. Annals of Biomedical Engineering 2021;49(4):1199 View
  10. Vakiel P, Shekarforoush M, Dennison C, Achari Y, Muench G, Scott M, Hart D, Shrive N. Correlation of damage score in PTOA with changes in stress on cartilage in an ovine model. Osteoarthritis and Cartilage Open 2020;2(4):100109 View
  11. Vellekoop H, Huygens S, Versteegh M, Szilberhorn L, Zelei T, Nagy B, Koleva-Kolarova R, Tsiachristas A, Wordsworth S, Rutten-van Mölken M. Guidance for the Harmonisation and Improvement of Economic Evaluations of Personalised Medicine. PharmacoEconomics 2021;39(7):771 View
  12. Zuidersma M, Lugtenburg A, van Zelst W, Reesink F, De Deyn P, Strijkert F, Zuidema S, Oude Voshaar R. Temporal dynamics of depression, cognitive performance and sleep in older persons with depressive symptoms and cognitive impairments: a series of eight single-subject studies. International Psychogeriatrics 2021:1 View
  13. Tsiormpatzis S. Is the N-of-1 method applicable in bodywork research? Lessons learned using a trial as a methodological pilot. Journal of Integrative Medicine 2021;19(3):203 View