mnRiskDiffCI {lrstat} | R Documentation |
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, kaifenglu@gmail.com
Examples
mnRiskDiffCI(n1 = c(10,10), y1 = c(4,3), n2 = c(20,10), y2 = c(2,0))