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Last data update: 2014.03.03

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Results 321 - 330 of 182600 found.
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indiv.analysis (Package: rPowerSampleSize) :

This function aims at analysing some multiple continuous endpoints with individual testing procedures (Bonferroni, Holm, Hochberg). These procedures, based on a Union-Intersection test procedure, allow to take into account the correlation between the different endpoints in the analysis. This function uses critical values from Romano et al. to control the q-gFWER. Different structures of the covariance matrices between endpoints are considered.

● Data Source: CranContrib
● Keywords: data analysis, individual procedure, multiple testing, package
● Alias: indiv.analysis
● 0 images

Psirmd (Package: rPowerSampleSize) :

This function computes the power for an analysis of m multiple tests with a control of the q-gFWER with the Holm procedure.

● Data Source: CranContrib
● Keywords: Holm Procedure, multiple testing, package, r power, sample size computation
● Alias: Psirmd
● 0 images

indiv.1m.ssc (Package: rPowerSampleSize) :

This function computes the sample size with an individual testing procedure in the context of multiple continuous endpoints. This method, based on the Union-Intersection testing procedure, allows one to take into account the correlation between the different endpoints in the computation of the sample size.

● Data Source: CranContrib
● Keywords: individual procedure, multiple testing, package, sample size computation
● Alias: asympt.ssc, indiv.1m.ssc, known.ssc, unknown.ssc
● 0 images

df.compute (Package: rPowerSampleSize) :

This function computes the degrees of freedom.

● Data Source: CranContrib
● Keywords: Holm Procedure, multiple testing, package, r power, sample size computation
● Alias: df.compute
● 0 images

complexity (Package: rPowerSampleSize) :

This function computes the complexity of our formulas.

● Data Source: CranContrib
● Keywords: Holm Procedure, multiple testing, package, r power, sample size computation
● Alias: complexity
● 0 images

indiv.1m.analysis (Package: rPowerSampleSize) :

This function aims at analysing some multiple continuous endpoints with an individual testing procedure. This method, based on Union-Intersection test procedure, allows one to take into account the correlations between the different endpoints in the analysis.

● Data Source: CranContrib
● Keywords: data analysis, individual procedure, multiple testing, package
● Alias: fwer, indiv.1m.analysis, test.indiv
● 0 images

Psirms (Package: rPowerSampleSize) :

This function computes the power for an analysis of m multiple tests with a control of the q-gFWER by a Bonferroni procedure.

● Data Source: CranContrib
● Keywords: Bonferroni Procedure, multiple testing, package, r power, sample size computation
● Alias: Psirms
● 0 images

rPowerSampleSize-package (Package: rPowerSampleSize) : Sample Size Computation and Data Analysis in the context of multiple continuous endpoints in clinical trials.

The package rPowerSampleSize has been developped in order to compute the sample size, and to analyse the data, in the context of multiple primary continuous endpoints in clinical trials. Two approaches are available for the decision rule “at least one significant endpoint among m”. All the procedures which correspond to this decision rule include 1m in the name of the function. An individual procedure based on Union-Intersection Procedure, and a global method based on multivariate linear model. This package for this decision rule contains four functions: two for the sample size determination (one for individual procedure, and one for a global method), and two for data analysis in order to resolve the multiple testing problems (one for individual procedure, and one for a global method). The sample size computation for the Bonferroni Procedure is also available. A generalisation of the first case is also available with a decision rule “at least r significant endpoint among the m primary endpoint”. The procedure which corresponds to this decision rule include rm in the name of the function. We have one functions here where we study the sample size computation.

● Data Source: CranContrib
● Keywords: data analysis, individual procedure, multiple testing, multivariate models, package, sample size computation
● Alias: rPowerSampleSize, rPowerSampleSize-package
● 0 images

bonferroni.1m.ssc (Package: rPowerSampleSize) :

This function computes the sample size for an analysis of multiple test with a single step Bonferroni procedure.

● Data Source: CranContrib
● Keywords: Bonferroni Procedure, multiple testing, package, sample size computation
● Alias: bonferroni.1m.ssc
● 0 images

indiv.rm.ssc (Package: rPowerSampleSize) :

This function computes the sample size for an analysis of m multiple tests with a control of the q-gFWER.

● Data Source: CranContrib
● Keywords: Bonferroni Procedure, multiple testing, package, r power, sample size computation
● Alias: indiv.rm.ssc
● 0 images