title: Common pitfalls in statistical analysis: "No evidence of effect" versus "evidence of no effect".
abstract: This article is the first in a series exploring common pitfalls in statistical analysis in biomedical research. The power of a clinical trial is the ability to find a difference between treatments, where such a difference exists. At the end of the study, the lack of difference between treatments does not mean that the treatments can be considered equivalent. The distinction between "no evidence of effect" and "evidence of no effect" needs to be understood.
authors: Department of Anaesthesiology, Tata Memorial Centre, Mumbai, Maharashtra, India.
authors: Priya
authors: P
authors: Ranganathan
authors: Department of Surgical Oncology, Division of Thoracic Surgery, Tata Memorial Centre, Mumbai, Maharashtra, India.
authors: C S
authors: CS
authors: Pramesh
authors: Department of Biostatistics, Hasselt University, Belgium.
authors: Marc
authors: M
authors: Buyse
keywords: Biostatistics; bias; statistical
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