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Issues in Outcomes Research: An Overview of Randomization Techniques for Clinical Trials
Open accessAbstract
Objective: To review and describe randomization techniques used in clinical trials, including simple, block, stratified, and covariate adaptive techniques. Background: Clinical trials are required to establish treatment efficacy of many athletic training procedures. In the past, we have relied on evidence of questionable scientific merit to aid the determination of treatment choices. Interest in evidence-based practice is growing rapidly within the athletic training profession, placing greater emphasis on the importance of well-conducted clinical trials. One critical component of clinical trials that strengthens results is random assignment of participants to control and treatment groups. Although randomization appears to be a simple concept, issues of balancing sample sizes and controlling the influence of covariates a priori are important. Various techniques have been developed to account for these issues, including block, stratified randomization, and covariate adaptive techniques. Advantages: Athletic training researchers and scholarly clinicians can use the information presented in this article to better conduct and interpret the results of clinical trials. Implementing these techniques will increase the power and validity of findings of athletic medicine clinical trials, which will ultimately improve the quality of care provided.
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“First of all, one of the limitations may be the selected randomization method which was chosen to simply control balance across groups over time for a sample size of 60 participants. As published data suggest, the 6-block randomization method may not be optimal for randomization, as blocks are best used in smaller increments due to easier balance control. Therefore, the 4-block randomization”
From Early Occupational Therapy Intervention post-stroke (EOTIPS): A randomized controlled trial (2024) · cites this paper as [69]
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“Based on the mechanism of selection of participants into groups, we distinguish between simple, block, stratified and covariate adaptive randomization (Kang et al. 2008).”
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Hassan, M. R. A., Mustapha, N. R. N., Jaya, F., et al. (2017) · Journal of Pharmacy Practice and Community Medicine · doi:10.5530/jppcm.2017.3.29 · Cited by 5
“The major limitation of the current study is the relatively small sample size, which may have contributed to the differences in the baseline characteristics between the two groups;[21] nevertheless, the means presented for all the endpoints in the study were adjusted for the confounding influence of these variables.”
BackgroundAftab, R. A., Khan, A. H., Adnan, A. S., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17437-4 · Cited by 5
Crema, A., Furfaro, I., Raschellà, F., et al. (2021) · Sensors · doi:10.3390/s21206739 · Cited by 5
“Kang, M.; Ragan, B.G.; Park, J.H. Issues in outcomes research: An overview of randomization techniques for clinical trials.”
MethodHill, C. E. (2015) · Foot and Ankle Surgery · doi:10.1016/j.fas.2015.07.002 · Cited by 5
Khalladi, R., Gargouri, I., Mahjoub, M., Belhareth, S., & Saad, H. B. (2017) · Revue de Pneumologie Clinique · doi:10.1016/j.pneumo.2017.08.004 · Cited by 5
Biomonitoring and Digital Data Technology as an Opportunity for Enhancing Animal Study Translation
Defensor, E. B., Lim, M. A., & Schaevitz, L. R. (2021) · ILAR Journal · doi:10.1093/ilar/ilab018 · Cited by 4
The Effects of a School-based Motivational Intervention on Adolescent Substance Abuse
Bradley, E. (2019) · ScholarWorks@UMassAmherst (University of Massachusetts Amherst) · doi:10.7275/41qz-jv44 · Cited by 5
Lu, T.-L., He, C.-S., Suzuki, K., Lu, C., Wang, C.-Y., & Fang, S. (2024) · Nutrients · doi:10.3390/nu16030454 · Cited by 6
“The block randomization method was used to randomly divide the participants to afford an equal sample size in each group [37].”
MethodDunbar, D., Proeve, M. J., & Roberts, R. (2024) · Clinical Psychologist · doi:10.1080/13284207.2024.2322940 · Cited by 3
Hamilton, J., Jimenez, E., Zarei, P., et al. (2024) · The Veterinary Journal · doi:10.1016/j.tvjl.2024.106103 · Cited by 4
Abdesselem, I. B., Kebeili, R., Derbel, K., et al. (2024) · F1000Research · doi:10.12688/f1000research.148074.1 · Cited by 4
Martins, J., Augusto, C., Silva, M. J., Duarte, A., Martins, S., Henedina Antunes, A., Nováis, P., Pereira, B., Veiga, P. A. C. V., & Rosario, R. V. (2024) · International Journal of Obesity · doi:10.1038/s41366-024-01672-7 · Cited by 4
“All the schools were identi fi ed as Educational Territories of Priority Intervention [PT: Territórios Educativos de Intervenção Prioritária - TEIP] in the Northern region of Portugal.”
InfluentialParker, S. I. A., Wilkins, J., Inayat, S., Hollingsworth, N., Causer, J., Virani, S., & Caird, J. K. (2025) · British Journal of Nursing · doi:10.12968/bjon.2025.0019 · Cited by 4
Stress and Anxiety Among Elite Volleyball Referees While Officiating
Klatt, S., Bea, L.-M., Brückner, S., Jungen, A., Noël, B., & Strauß, B. (2025) · Journal of Sports Science and Medicine · doi:10.52082/jssm.2025.160 · Cited by 4
“Given that no known covariate affected this study, block randomization was considered an appropriate measure (Kang et al., 2008).”
Massie, G. N., Backstrom, L. J., Holland, D. P., Paterson, M., & Fuller, R. A. (2025) · Veterinary Quarterly · doi:10.1080/01652176.2025.2478138 · Cited by 4
“…animals more broadly (Carbone and Austin 2016; Percie Du Sert et al. 2020), weak methodological rigour and low reporting quality can result in bias (Altman and Bland 1999), reduced replicability (Kafkafi et al. 2018), and overstated outcomes and conclusions (Bebarta et al. 2003; Kang et al. 2008).”
The impact of randomization techniques on the performance of pre-post design models
Lu, X., Zhang, Y., Wu, S. S., & Shan, G. (2025) · BMC Medical Research Methodology · doi:10.1186/s12874-025-02632-z · Cited by 4
“This approach is straightforward to implement and minimize the risk of selection bias, as the assignment of participants is entirely based on chance [17].”
Do Users Respond to Challenging and Hindering Techno-Stressors Differently? A Laboratory Experiment
Weinert, C., Pflügner, K., & Maier, C. (2020) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-60073-0_10 · Cited by 4
Wong, R. H. K., Au, R. W. C., Lan, C. W., Fan, C. P., Chiu, F. P. F., Chu, M. M. K., Kong, T. C. L., Lo, A. W. Y., Mak, D. C. S., Wong, J. K., et al. (2023) · Hong Kong Journal of Occupational Therapy · doi:10.1177/15691861231204904 · Cited by 4
“Patients who had given their written informed consents were randomized into either the experimental group or control group by using block randomization procedure as described by Kang et al. (2008) in order to generate similar numbers of participants between groups.”
MethodEvidenzlevel klinischer Interventionsstudien – Mind the biases
Deichsel, A., Guenther, D., Mathis, D. T., Schüttler, K. F., Wafaisade, A., Ackermann, J., Laky, B., Eggeling, L., Kopf, S., & Herbst, E. (2023) · Arthroskopie · doi:10.1007/s00142-023-00637-8 · Cited by 4
Fong, A. J., Llanos, A. A. M., Hudson, S. V., Schmitz, K. H., Lu, S., Phillips, S. M., & Manne, S. L. (2024) · Supportive Care in Cancer · doi:10.1007/s00520-024-08769-9 · Cited by 4
“First, despite randomization, the group sizes were uneven likely due to the use of one-to-one randomization with less than 100 participants due to imbalances in probabilities [41].”
Feather, C., Appelbaum, N., Clarke, J., Darzi, A. W., & Franklin, B. D. (2024) · BMJ Quality & Safety · doi:10.1136/bmjqs-2024-017733 · Cited by 4
“Recruited clinicians were block randomised 16 by the primary researcher into one of four groups (online supplemental appendix 4) using an online random team generator.”
InfluentialYao, Y., Jin, Q., Zhang, X., & Lv, Q. (2025) · BMC Pharmacology and Toxicology · doi:10.1186/s40360-024-00834-7 · Cited by 4
Técnicas de randomização e alocação para estudos clínicos
Miola, A. C., Espósito, A. C. C., & Miot, H. A. (2024) · Jornal Vascular Brasileiro · doi:10.1590/1677-5449.202400461 · Cited by 4
Azad, S., & Marselle, M. R. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22030369 · Cited by 4
“While the sample size is relatively small, random assignment to experimental and control groups enhances internal validity by reducing selection bias [90,91]; however, it is a limitation this study acknowledges.”
Choi, Y., & Kim, S. R. (2021) · International Journal of Nursing Practice · doi:10.1111/ijn.12919 · Cited by 4
Metadata
- Authors
- Kang, M., Ragan, B. G., & Park, J.-H.
- Affiliations
- Middle Tennessee State University (US)
- University of Northern Iowa (US)
- Korea National Sport University (KR)
- Venue
- Journal of Athletic Training
- Published
- 2008-03
- Volume
- 43
- Issue
- 2
- Pages
- 215-221
- ISSN
- 1062-6050 (ISSN-L)
- PMC
- PMC2267325
- OpenAlex
- W2103799103
- Semantic Scholar
- 76a894a7f31f671125792589418911fc63574599
- Cited by
- 555
- References
- 31
- Citations by year
- 2026: 54 · 2025: 79 · 2024: 90 · 2023: 54 · 2022: 29 · 2021: 33 · 2020: 39 · 2019: 22 · 2018: 26 · 2017: 27 · 2016: 20 · 2015: 16 · 2014: 17 · 2013: 12 · 2012: 15
- FWCI
- 6.61
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Athletic Training (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UNI ScholarWorks (University of Northern Iowa) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- randomization technique, clinical trials, block randomization, stratified randomization, covariate-adaptive randomization, covariate control, evidence-based practice
- MeSH terms
- Clinical Trials as Topic, Female, Humans, Male, Random Allocation, Outcome Assessment, Health Care, Evidence-Based Medicine
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