Randomized Controlled Trials
Open accessAbstract
Randomized controlled trials (RCTs) are considered the highest level of evidence to establish causal associations in clinical research. There are many RCT designs and features that can be selected to address a research hypothesis. Designs of RCTs have become increasingly diverse as new methods have been proposed to evaluate increasingly complex scientific hypotheses. This article reviews the principles and general concepts behind many common RCT designs and introduces newer designs that have been proposed, such as adaptive and cluster randomized trials. A focus on the many choices for randomization within an RCT is described, along with their potential tradeoffs. To illustrate their diversity, examples of RCTs from the literature are provided. Statistical considerations, such as power and type I error rates, are discussed with the intention of providing practical guidance about how to specify study hypotheses that address the scientific question while being statistically appropriate. Finally, the freely available Consolidated Standards of Reporting Trials guidelines and US Food and Drug Administration guidance documents are introduced, along with a set of guidelines one should consider when planning an RCT or reviewing RCTs submitted for publication in peer-reviewed academic journals.
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Simple randomization does not guarantee the control of important variables to be considered for both treatment groups, as occurs in stratified randomization.
“In addition, simple randomization does not guarantee the control of important variables to be considered for both treatment groups, as occurs in stratified randomization 3 , 35 .”
From Global mapping of randomized controlled trials in dentistry (2024) · cites this paper as [3]
RCTs are the basis for clinical decision-making.
“RCTs are the basis for clinical decision-making.”
From Global mapping of randomized controlled trials in dentistry (2024) · cites this paper as [3]
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Cites
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Schönenberger, C. M., Griessbach, A., Taji Heravi, A., Gryaznov, D., Gloy, V. L., Lohner, S., Klatte, K., Ghosh, N., Lee, H., Mansouri, A., et al. (2022) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2022.05.014 · Cited by 17 · see citing works
Global mapping of randomized controlled trials in dentistry
Prado, M. C., Dotto, L., Agostini, B., & Sarkis-Onofre, R. (2024) · Brazilian Dental Journal · doi:10.1590/0103-644020246233 · Cited by 1 · see citing works
- Authors
- Zabor, E. C., Kaizer, A. M., & Hobbs, B. P.
- Affiliations
- Cleveland Clinic (US)
- Colorado School of Public Health (US)
- Corresponding author
- Zabor, Emily C.
- Venue
- Chest
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 158
- Issue
- 1
- Pages
- S79-S87
- ISSN
- 0012-3692 (ISSN-L)
- PMC
- PMC8176647
- OpenAlex
- W3038343580
- Cited by
- 294
- References
- 3
- Citations by year
- 2026: 72 · 2025: 94 · 2024: 78 · 2023: 33 · 2022: 12 · 2021: 5
- FWCI
- 8.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- CHEST Journal (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Cleveland Clinic
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- randomized controlled trials, adaptive design, randomization methods, statistical power, type I error rate, CONSORT guidelines, FDA guidance, trial reporting quality
- MeSH terms
- Humans, Research Design, Randomized Controlled Trials as Topic, Guidelines as Topic
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