Miettinen-Nurminen Score Confidence Interval for Two-Sample Rate Difference

Source: R/RcppExports.R

Obtains the Miettinen-Nurminen score confidence interval for two-sample rate difference possibly with stratification.

mnRateDiffCI(t1, y1, t2, y2, cilevel = 0.95)

Arguments

t1

The exposure for the active treatment group.

y1

The number of events for the active treatment group.

t2

The exposure for the control group.

y2

The number of events for the control group.

cilevel

The confidence interval level.

Value

A list with two components:

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

    • t1: The exposure for the active treatment group.

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

    • t2: The exposure for the control group.

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

  • estimates: A data frame containing the point estimate and confidence interval for rate difference. 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 weights are used for stratified samples.

Author

Kaifeng Lu, kaifenglu@gmail.com

Examples


mnRateDiffCI(t1 = c(10,10), y1 = c(4,3), t2 = c(20,10), y2 = c(2,0))
#>             scale estimate      lower     upper cilevel
#> 1 rate difference      0.3 0.06511711 0.6870998    0.95