Analysis of clinical data with breached blindness.
Publication
, Journal Article
Chow, S-C; Shao, J
Published in: Stat Med
April 30, 2004
In clinical trials, blinding is usually employed to prevent bias that may be introduced due to the knowledge of the identity of the treatment codes. This bias could alter the conclusion of statistical inference on the treatment effect. The purpose of this article is to propose a method for analysing clinical data with breached blindness. The example regarding the study of the effectiveness of an appetite suppressant in weight loss in obese woman as described in Brownell and Stunkard (Am. J. Psychiatry 1982; 139:1487-1489) is used to illustrate the application of the proposed methods.
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Published In
Stat Med
DOI
ISSN
0277-6715
Publication Date
April 30, 2004
Volume
23
Issue
8
Start / End Page
1185 / 1193
Location
England
Related Subject Headings
- Treatment Outcome
- Statistics & Probability
- Research Design
- Randomized Controlled Trials as Topic
- Obesity
- Models, Statistical
- Humans
- Female
- Double-Blind Method
- Data Interpretation, Statistical
Citation
APA
Chicago
ICMJE
MLA
NLM
Chow, S.-C., & Shao, J. (2004). Analysis of clinical data with breached blindness. Stat Med, 23(8), 1185–1193. https://doi.org/10.1002/sim.1694
Chow, Shein-Chung, and Jun Shao. “Analysis of clinical data with breached blindness.” Stat Med 23, no. 8 (April 30, 2004): 1185–93. https://doi.org/10.1002/sim.1694.
Chow S-C, Shao J. Analysis of clinical data with breached blindness. Stat Med. 2004 Apr 30;23(8):1185–93.
Chow, Shein-Chung, and Jun Shao. “Analysis of clinical data with breached blindness.” Stat Med, vol. 23, no. 8, Apr. 2004, pp. 1185–93. Pubmed, doi:10.1002/sim.1694.
Chow S-C, Shao J. Analysis of clinical data with breached blindness. Stat Med. 2004 Apr 30;23(8):1185–1193.
Published In
Stat Med
DOI
ISSN
0277-6715
Publication Date
April 30, 2004
Volume
23
Issue
8
Start / End Page
1185 / 1193
Location
England
Related Subject Headings
- Treatment Outcome
- Statistics & Probability
- Research Design
- Randomized Controlled Trials as Topic
- Obesity
- Models, Statistical
- Humans
- Female
- Double-Blind Method
- Data Interpretation, Statistical