R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 10 of 27 found.
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binom_one_alpha (Package: EurosarcBayes) : Single arm, exact p-value calculator for single or multi-stage binomial trials.

P-value (alpha) for single arm binomial clinical trials. This is done exactly accounting for all interim analysis prior to stopping the trial.

● Data Source: CranContrib
● Keywords:
● Alias: binom_one_alpha
● 0 images

print.list_trialDesign_binom_two (Package: EurosarcBayes) : Bayesian, single arm, two endpoint trial design, using posterior probability to make decisions.

This class is used to compare designs and methodologies frequentist and bayesian properties. To use it create a list of trial designs of class trialDesign_binom_two and assign the class as list_trialDesign_binom_two (class(x)=c("list_trialDesign_binom_two",class(x))).

● Data Source: CranContrib
● Keywords:
● Alias: list_trialDesign_binom_two, print.list_trialDesign_binom_two
● 2 images

tradeoff linear (Package: EurosarcBayes) :

An integral and graph for an acceptable region for the bayesian loss function approach (see bayes_binom_two_loss)

● Data Source: CranContrib
● Keywords:
● Alias: tradeoff_linear_graph, tradeoff_linear_integrate
● 1 images

EurosarcBayes-package (Package: EurosarcBayes) : Bayesian sample size calculation software

Bayesian sample size calculation software and examples for Eurosarc clinical trials which utilise Bayesian methodology for binary endpoints (response/no-response). These trials rely on binomial based endpoints so the majority of programs found here relate to this sort of endpoint. Interim analyses are permitted for most designs. Developed as part of the EuroSARC FP7 grant.

● Data Source: CranContrib
● Keywords: package
● Alias: EurosarcBayes, EurosarcBayes-package
● 0 images

trialDesign_binom_two-class (Package: EurosarcBayes) : Class code{"trialDesign_binom_two"

This is the s4 class for Binomial two endpoint designs with frequentist and Bayesian properties.

● Data Source: CranContrib
● Keywords: classes
● Alias: plot,trialDesign_binom_two,ANY-method, print,trialDesign_binom_two-method, show,trialDesign_binom_two-method, trialDesign_binom_two, trialDesign_binom_two-class
● 0 images

binom_two_bryantday-class (Package: EurosarcBayes) : Class code{"binom_two_bryantday"

This is the S4 class for constructing Bryant and Day designs. This can be converted to the standard format using properties.

● Data Source: CranContrib
● Keywords: classes
● Alias: binom_two_bryantday, binom_two_bryantday-class
● 0 images

freq_binom_one_simons_twostage (Package: EurosarcBayes) : Single arm, two stage, Binomial sample size calculator

Sample size calculation for single arm, two stage designs (Simon's optimal and minmax designs) where stoping early for futility is permitted. Returns frequentist and Bayesian properties for the designs.

● Data Source: CranContrib
● Keywords:
● Alias: freq_binom_one_simons_twostage, shiny_binom_single_twostage
● 0 images

freq_binom_two_singlestage (Package: EurosarcBayes) :

Generate minimum sample size for the frequentist two-endpoint single-arm trial.

● Data Source: CranContrib
● Keywords:
● Alias: freq_binom_two_singlestage
● 0 images

trialDesign_binom_one-class (Package: EurosarcBayes) : Class code{"trialDesign_binom_one"

This is the s4 class for Binomial one endpoint designs with frequentist and Bayesian properties.

● Data Source: CranContrib
● Keywords: classes
● Alias: plot,trialDesign_binom_one,ANY-method, print,trialDesign_binom_one-method, show,trialDesign_binom_one-method, trialDesign_binom_one, trialDesign_binom_one-class
● 0 images

freq_binom_two_bryantday_twostage (Package: EurosarcBayes) : Single arm, two independent endpoint extension to Simons two-stage design

This function searches for solutions to a single arm two-stage two-endpoint trial first proposed by Bryant and Day (1995). The two endpoints are assumed independent. A wrapper function to compute the Bayesian properties is also provided.

● Data Source: CranContrib
● Keywords:
● Alias: freq_binom_two_bryantday_twostage
● 0 images