Purpose of this package is it to plan, monitor and evaluate oncological phase II studies. In general this kind of studies are single-arm trials with planned interim analysis and binary endpoint. To meet the resulting requirements, the package provides functions to calculate and evaluate 'Simon's two-stage designs' and 'so-called' 'subset designs'. If you are unfamiliar with this package a good starting point is to take a closer look at the functions getSolutions() and getSolutionsSub1().The web-based tool (https://imbi.shinyapps.io/phaseII-app/) extends the functionality of our R package by means of a proper dealing with over- and underrunning. The R function binom.test of the 'stats' R package and the package 'binom' might be helpful to assess the performance of the corresponding one-stage design as a reference.
|Date of publication||2016-05-23 11:28:04|
|Maintainer||Marius Wirths <email@example.com>|
|License||GPL (>= 2)|
getCE: Calculates the conditional error.
get_CI: Calculates the confidence interval.
get_conditionalPower: Calculates the conditional power.
get_confidence_set: Calculates the confidence set.
getCP: Calculates the conditional power.
getCP_simon: Returns the conditional power.
getD_distributeToOne: Get the conditional errors.
getD_equally: Get the conditional errors equally.
getD_none: Get the conditional errors.
getD_proportionally: Get the conditional errors proportionally.
getN2: Calculates the number of patients which should be enrolled in...
getP: Calculates the p-value (binomial test).
get_p_exact_subset: Calculates the exact p value.
get_p_KC: Calculates the p-value.
get_r2_flex: Calculates the number of responses needed for the second...
getSolutions: Returns designs for a given "simon"-object (see 'setupSimon')
getSolutionsSub1: Calculates designs for a given "sub1"-object.
get_UMVUE_GMS: Calculates the "uniformly minimal variance unbiased...
get_UMVUE_GMS_subset_second_only: Calculates the "uniformly minimal variance unbiased...
get_UMVUE_GMS_subset_second_total: Calculates the "uniformly minimal variance unbiased...
plot_confidence_set: Plots the "confidence set" according to the observed...
plot_simon_study_state: Plots the study state of a given Simon's two-stage design.
plot_sub1_study_state: Plots the study state of a given subset design.
setSimonParams: Sets the parameters for a given "simon"-object.
setSub1Params: Sets the parameters for a given "sub1"-object.
setupSimon: Creates a "simon"-object.
setupSub1Design: Creates a "sub1"-object.
simon_module: Functions and Objects created by Rcpp for the "Simon's...
sub1_module: Functions and Objects created by Rcpp for the "subset design"
toDataframe: Helper function for 'getSolutions' and 'getSolutionsSub1'.