| STATISTICS |
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| Year : 2015 | Volume
: 6
| Issue : 3 | Page : 169-170 |
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Common pitfalls in statistical analysis: Clinical versus statistical significance
Priya Ranganathan1, CS Pramesh2, Marc Buyse3
1 Department of Anaesthesiology, Division of Thoracic Surgery, Tata Memorial Centre, Parel, Mumbai, Maharashtra, India
2 Department of Surgical Oncology, Division of Thoracic Surgery, Tata Memorial Centre, Parel, Mumbai, Maharashtra, India
3 International Drug Development Institute, Hasselt University, Belgium
Correspondence Address:
Priya Ranganathan
Department of Anaesthesiology, Tata Memorial Centre, Ernest Borges Road, Parel, Mumbai - 400 012, Maharashtra
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/2229-3485.159943
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In clinical research, study results, which are statistically significant are often interpreted as being clinically important. While statistical significance indicates the reliability of the study results, clinical significance reflects its impact on clinical practice. The third article in this series exploring pitfalls in statistical analysis clarifies the importance of differentiating between statistical significance and clinical significance.
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