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.
CITATION STYLE
Kane, R. C. (2008). The Clinical Significance of Statistical Significance. The Oncologist, 13(11), 1129–1133. https://doi.org/10.1634/theoncologist.2008-0186
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