blindrecalc: Blinded Sample Size Recalculation
In blindrecalc: Blinded Sample Size Recalculation
blindrecalc R Documentation
Blinded Sample Size Recalculation
Description
The package blindrecalc provides characteristics and plots
of trial designs with blinded sample size recalculation where
a nuisance parameter is estimated at an blinded interim analysis.
Details
Currently, for continuous outcomes, a t-test is implemented for superiority
and non-inferiority trials.
For superiority trials with binary endpoint, the chi^2-test is implemented.
The Farrington Manning test covers non-inferiority trials with binary endpoint.
blindrecalc documentation built on Oct. 4, 2023, 5:06 p.m.
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| blindrecalc | R Documentation |
Blinded Sample Size Recalculation
Description
The package blindrecalc provides characteristics and plots of trial designs with blinded sample size recalculation where a nuisance parameter is estimated at an blinded interim analysis.
Details
Currently, for continuous outcomes, a t-test is implemented for superiority and non-inferiority trials. For superiority trials with binary endpoint, the chi^2-test is implemented. The Farrington Manning test covers non-inferiority trials with binary endpoint.
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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