remlRiskRatio: REML Estimates of Individual Proportions With Specified Risk...
In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
remlRiskRatio R Documentation
REML Estimates of Individual Proportions With Specified Risk
Ratio
Description
Obtains the restricted maximum likelihood estimates of
individual proportions with specified risk ratio.
Usage
remlRiskRatio(
riskRatioH0 = 1,
n1 = NA_real_,
y1 = NA_real_,
n2 = NA_real_,
y2 = NA_real_
)
Arguments
riskRatioH0
The specified risk ratio.
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.
Value
A vector of the restricted maximum likelihood estimates
of the response probabilities for the two treatment groups.
Author(s)
Kaifeng Lu, kaifenglu@gmail.com
Examples
remlRiskRatio(riskRatioH0 = 1.2, n1 = 10, y1 = 4, n2 = 20, y2 = 2)
lrstat documentation built on Oct. 18, 2024, 9:06 a.m.
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| remlRiskRatio | R Documentation |
REML Estimates of Individual Proportions With Specified Risk Ratio
Description
Obtains the restricted maximum likelihood estimates of individual proportions with specified risk ratio.
Usage
remlRiskRatio(
riskRatioH0 = 1,
n1 = NA_real_,
y1 = NA_real_,
n2 = NA_real_,
y2 = NA_real_
)
Arguments
riskRatioH0 |
The specified risk ratio. |
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. |
Value
A vector of the restricted maximum likelihood estimates of the response probabilities for the two treatment groups.
Author(s)
Kaifeng Lu, kaifenglu@gmail.com
Examples
remlRiskRatio(riskRatioH0 = 1.2, n1 = 10, y1 = 4, n2 = 20, y2 = 2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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