confIntRiskDiff: Compute confidence interval for a risk difference
In biostatUZH: Misc Tools of the Department of Biostatistics, EBPI, University of Zurich
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
Two methods to compute a confidence interval for a risk difference
based on Wald and Wilson confidence intervals for the individual risks are provided.
Usage
1
confIntRiskDiff(x, n, conf.level = 0.95)
Arguments
x
vector of length 2, number of successes in each group.
n
vector of length 2, total number of trials in each group.
conf.level
Confidence level for confidence interval.
Value
A list with the entries:
rd
Estimated risk difference.
CIs
Dataframe containing confidence intervals for the risk difference.
Author(s)
Leonhard Held
References
DG Altman, D Machin, TN Bryant, MJ Gardner: Statistics with confidence, 2nd Edition, 2000, Chapter 6
See Also
Examples
1
2
3
x <- c(30, 50)
n <- c(100, 120)
confIntRiskDiff(x, n)$CIs
biostatUZH documentation built on May 2, 2019, 6:06 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
Two methods to compute a confidence interval for a risk difference based on Wald and Wilson confidence intervals for the individual risks are provided.
Usage
1 | confIntRiskDiff(x, n, conf.level = 0.95)
|
Arguments
x |
vector of length 2, number of successes in each group. |
n |
vector of length 2, total number of trials in each group. |
conf.level |
Confidence level for confidence interval. |
Value
A list with the entries:
rd |
Estimated risk difference. |
CIs |
Dataframe containing confidence intervals for the risk difference. |
Author(s)
Leonhard Held
References
DG Altman, D Machin, TN Bryant, MJ Gardner: Statistics with confidence, 2nd Edition, 2000, Chapter 6
See Also
Examples
1 2 3 | x <- c(30, 50)
n <- c(100, 120)
confIntRiskDiff(x, n)$CIs
|
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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