computeTraditionalCi computes the traditional confidence interval based on the log of the relative risk and the standard 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

seLogRr

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)

ciWidth

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