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The results of OUTLIERtest are all NA, i.e, these four parameters:
"Outlier-corrected.beta"=res$Main MR results$Causal Estimate[2],
"Outlier-corrected.Sd"=res$Main MR results$Sd[2],
"Outlier-corrected.T-stat"=res$Main MR results$T-stat[2],
"Outlier-corrected.P-value"=res$Main MR results$P-value[2],
I am not sure where the matter was or does it mean the test failed?
Thanks for your time!
Zixiao
The text was updated successfully, but these errors were encountered:
Hi @wzxiao1217,
your global test must not be significant for your specified significance threshold (SignifThreshold = 0.05), therefore no outlier can be detected and the outlier-corrected analysis does not make sense, hence the NAs.
Best,
Marie
To whom it may concern,
Thanks for the great package! I have met a problem when I run the code
res<-mr_presso(data=trait1_trait2,BetaOutcome="beta.outcome",BetaExposure = "beta.exposure", SdOutcome = "se.outcome", SdExposure = "se.exposure", OUTLIERtest = TRUE, DISTORTIONtest = TRUE, NbDistribution = 10000, SignifThreshold = 0.05)
The results of OUTLIERtest are all NA, i.e, these four parameters:$Main MR results$ $Main MR results$ $Main MR results$ $Main MR results$
"Outlier-corrected.beta"=res
Causal Estimate
[2],"Outlier-corrected.Sd"=res
Sd
[2],"Outlier-corrected.T-stat"=res
T-stat
[2],"Outlier-corrected.P-value"=res
P-value
[2],I am not sure where the matter was or does it mean the test failed?
Thanks for your time!
Zixiao
The text was updated successfully, but these errors were encountered: