ArticleHarvard data science review2022
The Family of Single-Case Experimental Designs.
Article in Harvard data science review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Individual-Level Effects of a Digital Behavioural Treatment for Chronic Pain: Proof-of-Concept of a Single-Case Experimental Design Study.European journal of pain (London, England) · 2025Trial
- Adherence and contamination in a 1-year physical activity program in childhood cancer survivors: A report from the SURfit study.Cancer medicine · 2023Trial
- Evaluating the Effectiveness of Nonpharmacological Self-Management Interventions for Persistent Pain: Protocol for Single-Case Experimental Designs.JMIR research protocols · 2026Article
- N-of-1 trials in clinical research: Methodological foundations, statistical approaches and implementation challenges.British journal of clinical pharmacology · 2026Review
- Evaluation of statistical methods in R for estimating intervention effects using segmented linear regression in the AB interrupted time series design.BMC medical research methodology · 2026Article
- Design and analysis of individually randomized multiple baseline factorial trials.Behavior research methods · 2026Article
- Randomized Personalized Trial for Stress Management Compared to Standard of Care.Journal of personalized medicine · 2026Article
- Effectiveness and Cost-Effectiveness of Using a Social Robot in Residential Care for Individuals With Challenges in Daily Structure and Planning: Protocol for a Multiple-Baseline Single Case Trial and Health Economic Evaluation.JMIR research protocols · 2025Article
- From precision interventions to precision health.Nature communications · 2025Review
- Article
- Revisiting ecological fallacy: are single-case experimental study designs even more relevant in the era of precision medicine?Precision clinical medicine · 2024Article
- Planning Individual and Population-Based Interventions in Global Health: Applying the DEA-A Framework to Promote Behavioral, Emotional, and/or Cognitive Change among Stakeholders.International journal of environmental research and public health · 2024Article
- Assessing the Effectiveness of STAPP@Work, a Self-Management Mobile App, in Reducing Work Stress and Preventing Burnout: Single-Case Experimental Design Study.Journal of medical Internet research · 2024Article
- The effect of the stress autism mate app on perceived stress, coping, and resilience in adults with autism: a single-case experimental design.Frontiers in psychiatry · 2024Article
- Testing Behavior Change Techniques to Increase Physical Activity in Middle-Aged and Older Adults: Protocol for a Randomized Personalized Trial Series.JMIR research protocols · 2023Article
- An R Shiny App for a Chronic Lower Back Pain Study, Personalized N-of-1 Trial.Harvard data science review · 2022Article
- Personalized (N-of-1) Trials for Patient-Centered Treatments of Multimorbidity.Harvard data science review · 2022Article
- Introducing Data Sciences to N-of-1 Designs, Statistics, Use-Cases, the Future, and the Moniker 'N-of-1' Trial.Harvard data science review · 2022Article
- N-of-1 Trials, Their Reporting Guidelines, and the Advancement of Open Science Principles.Harvard data science review · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Single-case experimental designs (SCEDs) represent a family of research designs that use experimental methods to study the effects of treatments on outcomes. The fundamental unit of analysis is the single case-which can be an individual, clinic, or community-ideally with replications of effects within and/or between cases. These designs are flexible and cost-effective and can be used for treatment development, translational research, personalized interventions, and the study of rare diseases and disorders. This article provides a broad overview of the family of single-case experimental designs with corresponding examples, including reversal designs, multiple baseline designs, combined multiple baseline/reversal designs, and integration of single-case designs to identify optimal treatments for individuals into larger randomized controlled trials (RCTs). Personalized N-of-1 trials can be considered a subcategory of SCEDs that overlaps with reversal designs. Relevant issues for each type of design-including comparisons of treatments, design issues such as randomization and blinding, standards for designs, and statistical approaches to complement visual inspection of single-case experimental designs-are also discussed.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.