Cited by 188Statistical Methods in Clinical TrialsMusculoskeletal pain and rehabilitationPain Management and Opioid Use

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Customization of Pain Treatments: Single-Case Design and Analysis

Onghena, Patrick, Edgington, Eugene S.·2005·The Clinical Journal of Pain

DOI 10.1097/00002508-200501000-00007

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Abstract

The aim of this paper is to acquaint pain researchers and practitioners with recent developments in the single-case experimental approach and their potential to allow for tailoring the treatment and its evaluation to the specific complaints, aptitudes, or profile of the individual patient, without violating the canons of good science and practice. After contrasting the single-case experimental approach and the case-study approach, we show the possibilities of customization in design, measurement, and test statistics. This is done by distinguishing 2 types of single-case designs--alternation designs and phase designs--and 2 types of replication strategies--simultaneous replications and sequential replications. In addition, tailor-made randomization tests are proposed for alternation, phase, and simultaneous replication designs and the combining of P values to perform a meta-analysis on designs that are sequentially replicated. With our emphasis on: 1) randomization in the design; 2) the possibilities for a statistical test (together with the determination of power and the calculation of effect sizes); 3) the importance of reliable and valid measurement; and 4) the role of replication, we demonstrate how internal validity, statistical-conclusion validity, construct validity, and external validity concerns can be dealt with within a single-case experimental approach framework. Finally, the many research examples and references to clinical work illustrate the usefulness of the approach.

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Authors: Onghena, P., & Edgington, E. S.
Affiliations: KU Leuven (BE)
University of Calgary (CA)
Corresponding author: Onghena, Patrick
ORCID: Onghena, Patrick
Venue: The Clinical Journal of Pain
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2005-01
Volume: 21
Issue: 1
Pages: 56-68
ISSN: 0749-8047 (ISSN-L)
DOI: 10.1097/00002508-200501000-00007
OpenAlex: W2117635631
Cited by: 188
References: 113
Citations by year: 2026: 6 · 2025: 10 · 2024: 14 · 2023: 10 · 2022: 16 · 2021: 13 · 2020: 13 · 2019: 17 · 2018: 7 · 2017: 12 · 2016: 8 · 2015: 9 · 2014: 5 · 2013: 6 · 2012: 10
FWCI: 0.31
Type: journal article
Language: en
Open access: closed
Locations: Clinical Journal of Pain (publishedVersion)
PubMed (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
Keywords: single-case experimental design, pain management, personalized treatment, replication strategies, permutation tests, combining p-values, meta-analysis, internal validity, statistical conclusion validity, construct validity, generalizability, reliability and validity, effect size, power analysis
MeSH terms: Data Interpretation, Statistical, Humans, Research Design, Reproducibility of Results, Randomized Controlled Trials as Topic, Pain Management

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Customization of Pain Treatments: Single-Case Design and Analysis

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