mnRiskDiffCI: Miettinen-Nurminen score confidence interval for two-sample...

In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

Miettinen-Nurminen score confidence interval for two-sample risk difference

Description

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

Usage

mnRiskDiffCI(
  n1 = NA_real_,
  y1 = NA_real_,
  n2 = NA_real_,
  y2 = NA_real_,
  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.

Details

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

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 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.

Author(s)

Kaifeng Lu, [e-mail]

Examples

mnRiskDiffCI(n1 = c(10,10), y1 = c(4,3), n2 = c(20,10), y2 = c(2,0))

lrstat documentation built on June 23, 2024, 5:06 p.m.