mnRateDiffCI {lrstat} | R Documentation |
Miettinen-Nurminen score confidence interval for two-sample rate difference
Description
Obtains the Miettinen-Nurminen score confidence interval for two-sample rate difference possibly with stratification.
Usage
mnRateDiffCI(
t1 = NA_real_,
y1 = NA_real_,
t2 = NA_real_,
y2 = NA_real_,
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. |
Details
The Mantel-Haenszel weights are used for stratified samples.
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.
-
Author(s)
Kaifeng Lu, kaifenglu@gmail.com
Examples
mnRateDiffCI(t1 = c(10,10), y1 = c(4,3), t2 = c(20,10), y2 = c(2,0))