Man pages for arsenionhacolo/InferenceBEAGSD
Inference for Binary Endpoint Adaptive Group-Sequential Designs

adjustMet1Phase II efficacy estimates/Phase III sample size adjustment...
adjustMet2Phase III sample size adjustment factor (Method 2).
AnalyzeEKOADAnalyze simulated adaptive trials.
AnalyzePerformanceSimonPerformance of estimation methods
AnalyzePerformanceSimon2Performance of estimation methods
AnalyzeSimonDsgnAnalysis of simulated Simon's design trials
AnalyzeSimonDsgnAdaptNAnalysis of simulated adaptive Simon's design trials
AnIItoIIIReUse of Phase II estimates to plan Phase III sample size.
aop1Overall p-value (Method 1 of Nhacolo and Brannath, 2018).
aop1eOverall p-value for CI (Method 1 of Nhacolo and Brannath,...
aop2Overall p-value (Method 2 of Nhacolo and Brannath, 2018).
aop2eOverall p-value for CI (Method 2 of Nhacolo and Brannath,...
aop2ev2Overall p-value for CI (Method 2v2 of Nhacolo and Brannath,...
aop2v2Overall p-value (Method 2v2 of Nhacolo and Brannath, 2018).
aop3eOverall p-value (Method 3 of Nhacolo and Brannath, 2018).
CalculateSimonDsgnSimon's designs
checkMonoDCFCheck the monotonicity of the sample space ordering.
ci1Confidence interval (using Method 1 of Nhacolo and Brannath,...
ci2Confidence interval (using Method 2 of Nhacolo and Brannath,...
ci2v2Confidence interval (using Method 2v2 of Nhacolo and...
ci3Confidence interval (using Method 3 of Nhacolo and Brannath,...
dsgnPrepPre-process the Englert and Kieser (2013) optimal adaptive...
EKOADwnPre-processed Englert and Kieser (2013)'s optimal adaptive...
EKOptAdaptDesignsEnglert and Kieser (2013)'s optimal adaptive designs.
getN2v2Number of patients to be enrolled in the second stage
mue1Median estimate (using Method 1 of Nhacolo and Brannath,...
mue2Median estimate (using Method 2 of Nhacolo and Brannath,...
mue2v2Median estimate (using Method 2v2 of Nhacolo and Brannath,...
mue3Median estimate (using Method 3 of Nhacolo and Brannath,...
NctSample size per group for single-stage parallel-group RCT.
pdataHelper function for analyzing the performance of estimators
pdata2Helper function for analyzing the performance of estimators
PerforIItoIIIRePerformance, with respect to Phase III power, of phase II...
PerformanceEKOADPerformance of estimation methods
pgBias-reduced estimator
pipv1Response rate to attain a specified p-value (using Method 1...
pipv2Response rate to attain a specified p-value (using Method 2...
pipv2v2Response rate to attain a specified p-value (using Method 2v2...
pipv3Response rate to attain a specified p-value (using Method 3...
pkMedian unbiased estimator
pmSample proportion
ppUMVCUE
pquantileValue of response rate to attain a given p-value
puUMVUE
pvaluekP-value
PwrPower for single-stage parallel-group RCT.
sbiasBias of the sample proportion
sfmsProbability mass function of '(M, S)'
SimulateEKOADSimulate single-arm binary endpoint two-stage adaptive...
SimulateSimonDsgnSimon's designs data simulation
SimulateSimonDsgnAdaptNSimon's adaptive designs data simulation
arsenionhacolo/InferenceBEAGSD documentation built on May 9, 2019, 4:10 a.m.