ArticlePerspectives on behavior science2022
Statistical Decision-Making Accuracies for Some Overlap- and Distance-based Measures for Single-Case Experimental Designs.
Article in Perspectives on behavior science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06179784 (Personalising Cognitive Behaviour Therapy for Chronic Primary Pain Using Network Analysis - A Single Case Experimental Design Study With Multiple Baselines), which is not on this map. Cited by 5 papers.
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.
Personalising Cognitive Behaviour Therapy for Chronic Primary Pain Using Network Analysis - A Single Case Experimental Design Study With Multiple Baselines
Who cites it
5 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
- Using Artificial Intelligence to Support Emotionally Responsive Verbal Communication Among Autistic Workers in a Work Internship Setting.Journal of autism and developmental disorders · 2026Article
- Article
- Does the choice of a linear trend-assessment technique matter in the context of single-case data?Behavior research methods · 2023Article
- Baseline Variability Affects N-of-1 Intervention Effect: Simulation and Field Studies.Journal of personalized medicine · 2023Article
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
No grant is acknowledged in the PubMed record.
Abstract
Selecting a quantitative measure to guide decision making in single-case experimental designs (SCEDs) is complicated. Many measures exist and all have been rightly criticized. The two general classes of measure are overlap-based (e.g., percentage nonoverlapping data) and distance-based (e.g., Cohen's Supplementary Information: The online version contains supplementary material available at 10.1007/s40614-021-00317-8.
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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.