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Table of Contents    
CORRESPONDENCE
Year : 2021  |  Volume : 69  |  Issue : 5  |  Page : 1513

Statistical Significance and Clinical Importance


1 Department of Neurology, AIIMS, New Delhi, India
2 Department of Neurology, INHS Asvini, Mumbai, Maharashtra, India

Date of Submission30-Dec-2019
Date of Decision14-Feb-2020
Date of Acceptance08-Feb-2020
Date of Web Publication30-Oct-2021

Correspondence Address:
Venugopalan Y Vishnu
Department of Neurology, AIIMS, New Delhi
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0028-3886.329535

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How to cite this article:
Vishnu VY, Vinny PW. Statistical Significance and Clinical Importance. Neurol India 2021;69:1513

How to cite this URL:
Vishnu VY, Vinny PW. Statistical Significance and Clinical Importance. Neurol India [serial online] 2021 [cited 2021 Dec 4];69:1513. Available from: https://www.neurologyindia.com/text.asp?2021/69/5/1513/329535


Sir,

Dr. Prasad has elegantly described the importance of the difference between “clinical importance/significance” and “statistical significance/detection.”[1] We want to emphasize that apart from others, statistical significance depends profoundly on the sample size of the study. So, when the sample size is enormous, any clinically trivial difference (like a 1-day difference in headache-free days in migraine or five days difference in survival between two anticancer drugs) can turn out to be “statistically significant/detectable.”

There are four possibilities while considering clinical and statistical significance.

1. Statistically significant and clinically significant

2. Statistically and clinically not significant

These two scenarios are easy to interpret as they are self-explanatory

3. Statistically significant but not clinically significant

If one increases the sample size considerably, any trivial difference can become statistically “significant/detectable.” For example, before eating, if one uses a very high-power microscope, one can always find “dirt” in hand/spoon, however clean it is. It's up to the individual (in our case, clinician and patient) to decide whether it is clean enough to eat.

4. Statistically not significant but likely clinically significant

This scenario could be due to underpowered study (small sample size) or due to flaws associated with design or execution as described by the author.

We eagerly look forward to future series of articles under the “Know your vital statistics” section.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
  References Top

1.
Prasad K. Statistical significance versus clinical importance. Neurol India 2019;67:1513-4.  Back to cited text no. 1
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