Last data update: 2014.03.03
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R Release (3.2.3)
CranContrib
BioConductor
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SMO (statistical methods ontology)
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carpetcube
(Package: bifactorial ) :
Objects for handling with bi- and trifactorial trial data
Create objects representing bi- or trifactorial clinical trial designs.
● Data Source:
CranContrib
● Keywords: classes, design
● Alias: carpet, carpet,ANY,ANY-method, carpet,list,numeric-method, carpet-class, cube, cube,ANY,ANY-method, cube,list,numeric-method, cube-class, plot,carpet,missing-method, plot,cube,missing-method, show,carpet-method, show,cube-method, summary,carpet-method, summary,cube-method
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Compute adjusted p-values and simultaneous confidence intervals for given bi- and trifactorial design data.
● Data Source:
CranContrib
● Keywords: design, htest, iteration, multivariate
● Alias: margint, margint,ANY-method, margint,carpet-method, margint,cube-method, margint-class, mintest, mintest,ANY-method, mintest,carpet-method, mintest,cube-method, mintest-class, plot,margint,missing-method, plot,mintest,missing-method, show,margint-method, show,mintest-method, summary,margint-method, summary,mintest-method
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Factorial clinical trial designs can be used to test for the efficacy of combination drugs with two or more components, where inference on the question if a combination therapy is more efficacious than both of its components is based on the min-test proposed by Laska and Meisner (1989). This is due to regulatoric demands requiring a contribution of all compounds in a combination drug. The AVE- and MAX-approaches proposed by Hung, Chi and Lipicky (1993) test for the existence of any desirable combination.
● Data Source:
CranContrib
● Keywords: design, htest, iteration, multivariate, package
● Alias: bifactorial, bifactorial-package
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Compute global tests for factorial dose-response designs following Hung (2000) or by a bootstrap algorithm.
● Data Source:
CranContrib
● Keywords: design, htest, iteration, multivariate
● Alias: avetest, avetest,ANY-method, avetest,carpet-method, avetest,cube-method, avetest-class, maxtest, maxtest,ANY-method, maxtest,carpet-method, maxtest,cube-method, maxtest-class, show,avetest-method, show,maxtest-method, summary,avetest-method, summary,maxtest-method
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