Hi everyone!

I'm trying to do a fixed effect meta-analysis on a couple of GWASes based on p-values, Standard error and effect estimates (Beta) using METAL genetics software. For one of my GWAS studies SE is not reported explicitly in the summary stats, I have Q-test value and I^2 value for heterogeneity in addition to Beta and p value. I was wondering how I could find SE from Q-value. I do not know the sample size or the degrees of freedom.

Another on of my studies mentions T-score in addition to number of samples, p-values and beta. How can I estimate SE based on Tscore? I read somewhere that SE can be estimated using T-scores and beta by the following formula: SE=abs(beta/sqrt(t-score)) But wasn't able to confirm the validity of such formula since T-score can also be negative and can't take square root of that. How could one apply that formula?

Any advice would help!

Thanks!

Thank you very much! Could you please explain what you mean by taking care of the lower.tail ?

qnorm return a z-score, depending on the tail, the z-score will either be positive or negative. But in this case, I don't think that should be too much of a problem (because SE is not signed)

this solution is completely wrong unfortunately. I posted the correct formula.