Adjustment for Baseline Characteristics in Randomized Clinical Trials
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This Guide to Statistics and Methods provides an overview of the use of adjustment for baseline characteristics in the analysis of randomized clinical trials and emphasizes several important considerations.
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The multivariable analysis adjusted for baseline variables known to predict abstinence and did not interact with treatment, including nicotine dependence and quit attempts.
“We also presented the results of a multivariable analysis, which adjusted for baseline variables known to predict abstinence and did not interact with treatment, including nicotine dependence and quit attempts [32].”
From Personalized chat‐based support for smoking cessation among smokers with mental health symptoms in the workplace: A randomized controlled trial. (2025) · cites this paper as [32]
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- Authors
- Holmberg, M. J., & Andersen, L. W.
- Affiliations
- Aarhus University (DK)
- Corresponding author
- Andersen, Lars W.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2022-12-06
- Volume
- 328
- Issue
- 21
- Pages
- 2155
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W4309183852
- Cited by
- 161
- References
- 8
- Citations by year
- 2026: 55 · 2025: 45 · 2024: 40 · 2023: 21
- FWCI
- 19.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- 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
- baseline characteristics, adjustment, randomized controlled trials, covariate adjustment, treatment effect estimation, confounding
- MeSH terms
- Research Design, Randomized Controlled Trials as Topic
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