computeTraditionalCi computes the traditional confidence interval based on the log of the relative risk and the standerd error of the log of the relative risk.

computeTraditionalCi(logRr, seLogRr, ciWidth = 0.95)

## Arguments

logRr 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() - log())/qnorm(0.025) The width of the confidence interval. Typically this would be .95, for the 95 percent confidence interval.

## Value

The point estimate and confidence interval

## Examples

data(sccs)
positive <- sccs[sccs$groundTruth == 1, ] computeTraditionalCi(positive$logRr, positive\$seLogRr)#>         rr       lb       ub
#> 1 2.080532 1.800637 2.403934