Cited by 294Statistical Methods in Clinical TrialsMeta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Randomized Controlled Trials

Open access
Zabor, Emily C., Kaizer, Alexander M., Hobbs, Brian P.·2020·Chest

Abstract

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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Crossref · 10.1016/j.chest.2020.03.013

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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 .”
  • RCTs are the basis for clinical decision-making.

    “RCTs are the basis for clinical decision-making.”

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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)
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
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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