Hello, I'm currently in the recruitment phase of a study evaluating the Val66Met SNP present in about 22-30% of the population. I was wondering if someone could tell me what the minimum N would be for a publishable paper, right now I'm shooting for 30 in experimental and 30 in control, which would mean around 7 people with the polymorphism for both groups. Assuming everything ends up in Hardy Weinberg Equilibrium will this be sufficient? I'm doing other measures as well.
I think you are on the very low N here and it will be difficult. It depends a bit on the phenotype also...
Hmm, okay, that's sort of what I figured, although I'm expecting the polymorphism to be more common in the experimental group. I guess I can just get preliminary data on the 60 people and go from there.
I appreciate your response!
Dear Cooper
The minimum sample size depends on your population, is it finite population or infinite population.
In the case of finite population, you can use the attached table to estimate the suitable sample size.
But in case of infinite population:
The sample size for any study depends on the standard deviation of the variable ( from previous studies ) and the margin of error you decided . My advice to use G*Power .
G*Power software is effective tool to calculate sample size for many ranges of experiments. Also, you can determine effect size and power of the test, G*Power is free to download and easy to use after reading the manual, the download link:
http://download.cnet.com/G-Power/3000-2054_4-10647044.html
The link to download G*Power manual:
http://www.gpower.hhu.de/fileadmin/redaktion/Fakultaeten/Mathematisch-Naturwissenschaftliche_Fakultaet/Psychologie/AAP/gpower/GPowerManual.pdf
Good Luck
Dear Cooper
The attached file represent the table for estimation sample size from the finite population.
Good Luck
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