ArticleJournal of medical Internet research2019
Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guidance for the Harmonisation and Improvement of Economic Evaluations of Personalised Medicine.PharmacoEconomics · 2021Pooled it
- 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 · 2023Trial
- Power analysis for idiographic (within-subject) clinical trials: Implications for treatments of rare conditions and precision medicine.Behavior research methods · 2023Article
- THE VALUE OF N-OF-1 DATA IN ZOOLOGICAL MEDICINE: A METHODOLOGICAL REVIEW.Journal of zoo and wildlife medicine : official publication of the American Association of Zoo Veterinarians · 2023Review
- Article
- Genetics-informed precision treatment formulation in schizophrenia and bipolar disorder.American journal of human genetics · 2022Article
- Accommodating Serial Correlation and Sequential Design Elements in Personalized Studies and Aggregated Personalized Studies.Harvard data science review · 2022Article
- 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 · 2022Article
- Single case designs for early phase behavioral translational research in health psychology.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2021Article
- Establishment of an International Collaborative Network for N-of-1 Trials and Single-Case Designs.Contemporary clinical trials communications · 2021Article
- Correlation of damage score in PTOA with changes in stress on cartilage in an ovine model.Osteoarthritis and cartilage open · 2020Article
- Artificial Intelligence and Hypertension: Recent Advances and Future Outlook.American journal of hypertension · 2020Review
- Comment on "Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations".Journal of medical Internet research · 2020Article
- 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 · 2020Observational
- Optimizing Aggregated N-Of-1 Trial Designs for Predictive Biomarker Validation: Statistical Methods and Theoretical Findings.Frontiers in digital health · 2020Article
- Some t-tests for N-of-1 trials with serial correlation.PloS one · 2020Article
- Comparison of Aggregated N-of-1 Trials with Parallel and Crossover Randomized Controlled Trials Using Simulation Studies.Healthcare (Basel, Switzerland) · 2019Article
- Power and Design Issues in Crossover-Based N-Of-1 Clinical Trials with Fixed Data Collection Periods.Healthcare (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent advances in molecular biology, sensors, and digital medicine have led to an explosion of products and services for high-resolution monitoring of individual health. The N-of-1 study has emerged as an important methodological tool for harnessing these new data sources, enabling researchers to compare the effectiveness of health interventions at the level of a single individual.
objectiveN-of-1 studies are susceptible to several design flaws. We developed a model that generates realistic data for N-of-1 studies to enable researchers to optimize study designs in advance.
methodsOur stochastic time-series model simulates an N-of-1 study, incorporating all study-relevant effects, such as carryover and wash-in effects, as well as various sources of noise. The model can be used to produce realistic simulated data for a near-infinite number of N-of-1 study designs, treatment profiles, and patient characteristics.
resultsUsing simulation, we demonstrate how the number of treatment blocks, ordering of treatments within blocks, duration of each treatment, and sampling frequency affect our ability to detect true differences in treatment efficacy. We provide a set of recommendations for study designs on the basis of treatment, outcomes, and instrument parameters, and make our simulation software publicly available for use by the precision medicine community.
conclusionsSimulation can facilitate rapid optimization of N-of-1 study designs and increase the likelihood of study success while minimizing participant burden.
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