<p>In certain cases, traditional significance test may not be able to identify that effect of a treatment or a drug is significant. However,clinical significance test may suggest a significant effect. Does it mean that this test is a better way of interpreting  effect-size or correlation coefficient when we are facing imperfect measurements or data. Imperfect measurements could produce a wrong conclusion based on traditional statistical test?</p>

CC BY-SA 4.0
2024-02-06T00:58:23.143Z
Your question is not clear. Can you give us an example where the significance test indicates a lack of significance (with good experimental design) but other evidence says otherwise?
Ram RS
CC BY-SA 4.0
2024-02-06T14:42:33.950Z
I'm sorry but this is just too broad a question. If you [edit] and give a specific example we might be able to help if it is about bioinformatics, but as it stands, we cannot help you assess the results of a statistical test you haven't shown.
terdon
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2024-02-08T22:28:59.043Z
@RamRS please have a look. https://bioinformatics.stackexchange.com/questions/11043/difference-between-clinical-significance-and-statistical-significance
Subhash C. Davar
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2024-02-09T15:31:51.437Z
Thank you for the pointer, @SubhashC.Davar
Ram RS
CC BY-SA 4.0
2024-02-11T00:29:17.927Z
@Ram RS Meta Analysis: please read my paper - An Improved Version of Hunter, Schmidt and Jackson Framework.
Subhash C. Davar
<r><biostatistics>
In medical and public health care, should we make use of "clinical" signficance testing (non-parametric tests) or parametric tests of significance?"
# In medical and public health care, should we make use of "clinical" signficance testing (non-parametric tests) or parametric tests of significance?"

(Asked by: username_0 on 2024-02-06)

In certain cases, traditional significance test may not be able to identify that effect of a treatment or a drug is significant. However,clinical significance test may suggest a significant effect. Does it mean that this test is a better way of interpreting effect-size or correlation coefficient when we are facing imperfect measurements or data. Imperfect measurements could produce a wrong conclusion based on traditional statistical test?

**Tags:** r, biostatistics
> **Comments:**
> **username_1**: Your question is not clear. Can you give us an example where the significance test indicates a lack of significance (with good experimental design) but other evidence says otherwise?  
> **username_2**: I'm sorry but this is just too broad a question. If you [edit] and give a specific example we might be able to help if it is about bioinformatics, but as it stands, we cannot help you assess the results of a statistical test you haven't shown.  
> **username_0**: @RamRS please have a look. https://bioinformatics.stackexchange.com/questions/11043/difference-between-clinical-significance-and-statistical-significance  
> **username_1**: Thank you for the pointer, @SubhashC.Davar  
> **username_0**: @Ram RS Meta Analysis: please read my paper - An Improved Version of Hunter, Schmidt and Jackson Framework.  

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