(Circulation. 2007;115:1164-1169.)
© 2007 American Heart Association, Inc.
Statistical Primer for Cardiovascular Research |
From the Department of Biostatistics, Harvard School of Public Health, Boston, Mass.
Correspondence to Kenneth Stanley, PhD, Department of Biostatistics, Harvard School of Public Health, 651 Huntington Ave, Boston, MA 02115. E-mail kstanley@sdac.harvard.edu
Key Words: randomized controlled trials statistics trials
An extract of the first 250 words of the full text is provided, because this article has no abstract. |
| Introduction |
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Nothing more clearly indicates the key role of an RCT in modern clinical research than the placement of this specific research method at the top of the list of levels of evidence in evidence-based medicine.1 According to this classification, significant results of an RCT are more definitive than any other type of clinical research information.
The purpose of this article is to present an overview of the design of RCTs. Some of the principles of a high-quality study, such as the use of randomization, placebos, and double-blind designs are well known. Other principles such as stratification, use of a decision-making structure, and statistical power are known by many investigators but are not universally recognized or fully understood. These features plus others that indicate the design of a high-quality RCT are discussed. A companion article on the conduct and evaluation of RCTs will appear in a future issue of this journal.
| Clarity of Study Objective |
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