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Hi, I performed an statistical analysis comparing autism group with control group using volume/area and thickness measures. I found significant differences in some regions but they were not significant after FDR correction. The majority of p-values are really high and only some of them are small, I would like to know is that can affect the result. Additionally, I read that it is interesting to do a power analysis to know the amount of difference that can be detected based on the sample size and I would like to know if it is a good approach to follow trying to explain why some results were not significant after multiple comparison correction. Thank you, Laura
High p-values (i,e close to 1) mean non-significance. I don't know how to do a power analysis with FDR.
On 11/19/18 1:16 PM, Laura Ferrero wrote:
External Email - Use CautionHi, I performed an statistical analysis comparing autism group with control group using volume/area and thickness measures. I found significant differences in some regions but they were not significant after FDR correction. The majority of p-values are really high and only some of them are small, I would like to know is that can affect the result. Additionally, I read that it is interesting to do a power analysis to know the amount of difference that can be detected based on the sample size and I would like to know if it is a good approach to follow trying to explain why some results were not significant after multiple comparison correction. Thank you, Laura
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Greve, Douglas N.,Ph.D. -
Laura Ferrero