Miettinen-Nurminen Score Confidence Interval for Two-Sample Risk Ratio

Source: R/RcppExports.R

Obtains the Miettinen-Nurminen score confidence interval for two-sample risk ratio possibly with stratification.

mnRiskRatioCI(n1, y1, n2, y2, cilevel = 0.95)

Arguments

n1

The sample size for the active treatment group.

y1

The number of responses for the active treatment group.

n2

The sample size for the control group.

y2

The number of responses for the control group.

cilevel

The confidence interval level.

Value

A list with two components:

  • data A data frame containing the input sample size and number of responses for each treatment group. It has the following variables:

    • n1: The sample size for the active treatment group.

    • y1: The number of responses for the active treatment group.

    • n2: The sample size for the control group.

    • y2: The number of responses for the control group.

  • estimates: A data frame containing the point estimate and confidence interval for risk ratio. It has the following variables:

    • scale: The scale of treatment effect.

    • estimate: The point estimate.

    • lower: The lower limit of the confidence interval.

    • upper: The upper limit of the confidence interval.

    • cilevel: The confidence interval level.

Details

The Mantel-Haenszel sample size weights are used for stratified samples.

Author

Kaifeng Lu, kaifenglu@gmail.com

Examples


mnRiskRatioCI(n1 = c(10, 10), y1 = c(4, 3),
              n2 = c(20, 10), y2 = c(2, 0))
#>        scale estimate    lower   upper cilevel
#> 1 risk ratio     6.25 1.475588 27.6909    0.95