computeTraditionalP computes the traditional two-sided p-value based on the log of the
relative risk and the standard error of the log of the relative risk.
computeTraditionalP(logRr, seLogRr, twoSided = TRUE, upper = TRUE)
A numeric vector of one or more effect estimates on the log scale
The standard error of the log of the effect estimates. Hint: often the standard error = (log(<lower bound 95 percent confidence interval>) - log(<effect estimate>))/qnorm(0.025)
Compute two-sided (TRUE) or one-sided (FALSE) p-value?
If one-sided: compute p-value for upper (TRUE) or lower (FALSE) bound?
The (traditional) p-value.
data(sccs) positive <- sccs[sccs$groundTruth == 1, ] computeTraditionalP(positive$logRr, positive$seLogRr) #>  0