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

The DOI matches its Crossref record; 111 of the 113 references it cites were found in a registry or an index.

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.

Overview

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Crossref · 10.1097/00002508-200501000-00007

Cites

111 of 111 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 14

  1. Kazdin, 1981, J Consult Clin Psychol, 49, 183, 10.1037/0022-006X.49.2.183 · DOI
  2. Edgington, 1980, Behav Assess, 2, 19
  3. Holden, 2002, Res Soc Work Pract, 36, 21
  4. 1986, Lancet, 1, 1254
  5. Onghena, 1992, Behav Assess, 14, 153
  6. Wampold, 1986, Behav Assess, 8, 135
  7. Wolery, 1982, Behav Assess, 4, 93
  8. Knapp, 1983, Behav Assess, 5, 155
  9. Crosbie, 1993, J Consult Clin Psychol, 61, 966, 10.1037/0022-006X.61.6.966 · DOI
  10. Kempthorne, 1955, JASA, 50, 964
  11. Edgington, 1964, J Psychol, 57, 445, 10.1080/00223980.1964.9916711 · DOI
  12. White, 1989, Behav Assess, 11, 281
  13. Senchaudhuri, 1995, J Am Stat Assoc, 90, 640
  14. Larson, 1990, West J Med, 152, 52

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Metadata

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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