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Thanks for making this useful package for detecting outliers and pleiotropy.
Recently, I am running an MR analysis, and doing sensitivity analysis using MRPRESSO. However, one of my results shows that the global P-value is 1. I am wondering whether this situation is due to a very close to 1 p-value, which is displayed as 1, or the p-value is exactly 1 because of the data property.
The text was updated successfully, but these errors were encountered:
Hi @ruislab,
thanks for using MR-PRESSO.
Indeed, please see reply to issue #8.
Since empirical P-values are computed, if you wish to increase the precision in the estimation of your p-values you should increase the number of permutations specified in NbDistribution.
Best,
Marie
Hi,
Thanks for making this useful package for detecting outliers and pleiotropy.
Recently, I am running an MR analysis, and doing sensitivity analysis using MRPRESSO. However, one of my results shows that the global P-value is 1. I am wondering whether this situation is due to a very close to 1 p-value, which is displayed as 1, or the p-value is exactly 1 because of the data property.
The text was updated successfully, but these errors were encountered: