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STATISTICS
Year : 2015  |  Volume : 6  |  Issue : 1  |  Page : 62-63

Common pitfalls in statistical analysis: "No evidence of effect" versus "evidence of no effect"


1 Department of Anaesthesiology, Tata Memorial Centre, Mumbai, Maharashtra, India
2 Department of Surgical Oncology, Division of Thoracic Surgery, Tata Memorial Centre, Mumbai, Maharashtra, India
3 Department of Biostatistics, Hasselt University, India

Correspondence Address:
Priya Ranganathan
Department of Anaesthesiology, Tata Memorial Centre, Ernest Borges Road, Parel, Mumbai - 400 012, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2229-3485.148821

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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.


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