- Thread starter Shailee
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An effect size is a measure of an effect (e.g., intervention, policy change, etc.). Do you have another variable in this dataset? Effect sizes can be measures for correlation, rate ratios or differences, hazards, etc. In these scenarios, there is a another variable. I am not familiar with an effect size of a univariate dataset. You can do a one-sample test, but I am not imagining that is what you are looking for. Why do you think you need an effect size? You can present a metric for time with a precision value for it. But not sure that would be an "effect size".

What is the background and context for your inquiry?

Study product: Chitosan dressing used to stop bleeding from puncture site

Method : Chitosan dressing was applied on the puncture site to stop bleeding.

Sample Size: 70

I have data for each patient:

Patient 1 : time to stop bleeding = 4 min

Patient 2: time to stop bleeding = 7 min

Patient 3: ...

....

...

Patient 70: time to stop bleeding = 5 min

Mean time to stop bleeding = 5.43 +/- 1.36 minutes.

I want to conclude that this mean time to stop bleeding is lesser as compared to standard ( as per literature standard time tostados top bleeding is 10 minutes.

I need an effect size to write in the article.

If I was right this up, I would just present your value (given it is normally distributed) with 95% and 99% CI's and that is it. If you want you could plot your dot whisker plot for your values and add a reference line for 10 minutes along with reference shading to show where the 10 minutes estimates 95% and 99% CI's would land on the plot.

Thanks.

If I was peer-reviewing your manuscript and you compared your value to a single constant from another study, I would tell you not to do that and to revise and resubmit without that component in the analyses. You don't need an effect estimate in this setting and it would be inappropriate to present one!