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Cited by 164

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Blinding assessment in clinical trials: A review of statistical methods and a proposal of blinding assessment protocol

Bang, Heejung, Flaherty, Stephen P., Kolahi, Jafar, Park, Jongbae·2010·Clinical Research and Regulatory Affairs

Abstract

There is strong consensus in the clinical trial community that blinding is an important issue in randomized controlled trials. At present grossly incomplete reporting of procedures and the use of any assessment for blinding still prevails. The term ‘double-blind’ has almost become a convention without any checks or balances. Also there is a lack of consensus on quantitative procedures for evaluating the success of blinding in the literature. This article reviews statistical methods of blinding assessment along with software options, and discusses some of the most pressing issues surrounding the acquisition, interpretation, and reporting of blinding data. Finally, it proposes a sample blinding assessment protocol to address some of these issues.

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Registry

Crossref · 10.3109/10601331003777444

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Metadata

Authors
Bang, H., Flaherty, S. P., Kolahi, J., & Park, J.
Venue
Clinical Research and Regulatory Affairs
Published
2010-04-30
Volume
27
Issue
2
Pages
42-51
ISSN
  • 1060-1333 (ISSN-L)
  • 1532-2521
OpenAlex
W2078668847
Cited by
164
References
9
FWCI
2.69
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Blinding assessment in clinical trials: A review of statistical methods and a proposal of blinding assessment protocol. https://app.cochat.ai/papers/10.3109/10601331003777444
The paper
Bang, H., Flaherty, S. P., Kolahi, J., & Park, J. (2010). Blinding assessment in clinical trials: A review of statistical methods and a proposal of blinding assessment protocol. Clinical Research and Regulatory Affairs. https://doi.org/10.3109/10601331003777444

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.