`R/ConfidenceIntervalCalibration.R`

`computeTraditionalCi.Rd`

`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)

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. |

The point estimate and confidence interval

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