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;33(11):967 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 2022;34(1):47 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
  14. Nikles J, Onghena P, Vlaeyen J, Wicksell R, Simons L, McGree J, McDonald S. Establishment of an International Collaborative Network for N-of-1 Trials and Single-Case Designs. Contemporary Clinical Trials Communications 2021;23:100826 View
  15. Held S, Rappelt L, Wicker P, Donath L. Changing Oar Rotation Axis Position Increases Catch Angle During Indoor and In-Field Para-Rowing: A Randomized Crossover Trial Verified by a Repeated Measurement Trial. Frontiers in Physiology 2022;13 View
  16. Tueller S, Ramirez D, Cance J, Ye A, Wheeler A, Fan Z, Hornik C, Ridenour T. Power analysis for idiographic (within-subject) clinical trials: Implications for treatments of rare conditions and precision medicine. Behavior Research Methods 2022;55(8):4175 View
  17. Reay W, Geaghan M, Atkins J, Carr V, Green M, Cairns M. Genetics-informed precision treatment formulation in schizophrenia and bipolar disorder. The American Journal of Human Genetics 2022;109(9):1620 View
  18. Peltier C, McKenna J, Sinclair T, Garwood J, Vannest K. Brief Report: Ordinate Scaling and Axis Proportions of Single-Case Graphs in Two Prominent EBD Journals From 2010 to 2019. Behavioral Disorders 2022;47(2):134 View
  19. Neumann W, Gilron R, Little S, Tinkhauser G. Adaptive Deep Brain Stimulation: From Experimental Evidence Toward Practical Implementation. Movement Disorders 2023;38(6):937 View
  20. Gärtner T, Schneider J, Arnrich B, Konigorski S. Comparison of Bayesian Networks, G-estimation and linear models to estimate causal treatment effects in aggregated N-of-1 trials with carry-over effects. BMC Medical Research Methodology 2023;23(1) View
  21. Ferguson R, Terhorst L, Gibbons B, Posluszny D, Chang H, Bovbjerg D, McDonald B. Using Single-Case Experimental Design and Patient-Reported Outcome Measures to Evaluate the Treatment of Cancer-Related Cognitive Impairment in Clinical Practice. Cancers 2023;15(18):4643 View
  22. Natesan Batley P, Thamaran M, Hedges L. ABkPowerCalculator: An App to Compute Power for Balanced (AB) k Single Case Experimental Designs. Multivariate Behavioral Research 2023:1 View
  23. Cummings C, Eisenbarth J, Krucik D. THE VALUE OF N-OF-1 DATA IN ZOOLOGICAL MEDICINE: A METHODOLOGICAL REVIEW. Journal of Zoo and Wildlife Medicine 2023;54(3) View

Books/Policy Documents

  1. Miner G, Miner L. Practical Data Analytics for Innovation in Medicine. View