Hi ALL,

I am stacked by a problem of how to combine different p values.

I just got 3 different pvalues using different method, for example chisq test, logistic regression, how can I obtain the combined p? one possible way reported was to convert the p value to z value first and then calculate the final p, is there any other possible method?

Another similar question is that suppose I got 2 GWAS datasets of the same population but different genotype platform though using imputation process, the p value for the same SNP would be different, so how can i combine this kind of p? I know meta can do this kind of thing, but since there is only two datasets, which will lead to impossible for meta analysis

So if anyone knows any method that can fix this kind of problem, could you plz tell me the reference?

Thanks a lot!

Added: not on the same datasets, for example, using a gene expression dataset, I can obtain the p value for a specific gene, meanwhile, using a gwas dataset, I can assign the p-value of most significant SNP to this gene. My question is how to combine these kind of p-values to obtain the updated p-value for this gene?

not on the same datasets, for example, using a gene expression dataset, I can obtain the p value for a specific gene, meanwhile, using a gwas dataset, I can assign the p-value of most significant SNP to this gene. My question is how to combine these kind of p-values to obtain the updated p-value for this gene?