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Commentary |
aOffice of Oncology Drug Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
Correspondence: Correspondence: Robert C. Kane, M.D., Office of Oncology Drug Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland 20993-0002, USA. Telephone: 301-796-2330; Fax: 301-796-9845; e-mail: Robert.kane{at}fda.hhs.gov
Received August 22, 2008; accepted for publication September 23, 2008.
ABSTRACT
Modern clinical trials provide the evidence for most therapeutic advances, and that evidence, expressed in a statistical format, is used to draw inferences about a population from the study's results. Clinician judgment translates these inferences for best individual patient care, but many clinicians struggle with the statistical interpretation of trial results. This review provides a clinical and non-Bayesian perspective on some key elements in the statistical design, analysis, and interpretation of randomized, comparative, phase III clinical trials intended to demonstrate a better outcome (superiority) than with a control treatment.
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