Design and Analysis of Hierarchical Composite Endpoints


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Documentation for package ‘hce’ version 0.6.0

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ADET Event-Time dataset for kidney outcomes.
ADLB Laboratory dataset for Glomerular Filtration Rate (GFR) measurements.
ADSL Baseline characteristics dataset of patients with kidney function assessments.
as_hce A generic function for coercing data structures to 'hce' objects
as_hce.data.frame Coerce a data frame to an 'hce' object
calcWINS A generic function for calculating win statistics
calcWINS.data.frame Win statistics calculation using a data frame
calcWINS.formula Win statistics calculation using formula syntax
calcWINS.hce Win statistics calculation for 'hce' objects
calcWO A generic function for calculating win odds
calcWO.data.frame Win odds calculation using a data frame
calcWO.formula Win odds calculation using formula syntax
calcWO.hce Win odds calculation for 'hce' objects
COVID19 COVID-19 ordinal scale dataset (full report).
COVID19b COVID-19 ordinal scale dataset (preliminary report).
hce Helper function for 'hce' objects
HCE1 'HCE1', 'HCE2', 'HCE3', 'HCE4' datasets for 1000 patients with different treatment effects.
HCE2 'HCE1', 'HCE2', 'HCE3', 'HCE4' datasets for 1000 patients with different treatment effects.
HCE3 'HCE1', 'HCE2', 'HCE3', 'HCE4' datasets for 1000 patients with different treatment effects.
HCE4 'HCE1', 'HCE2', 'HCE3', 'HCE4' datasets for 1000 patients with different treatment effects.
KHCE Kidney Hierarchical Composite Endpoint dataset.
minWO Minimum detectable or WO for alternative hypothesis for given power (no ties)
plot.hce_results A print method for 'hce_results ' objects
powerWO Power calculation for the win odds test (no ties)
print.hce_results A print method for 'hce_results' objects
propWINS Proportion of wins/losses/ties given the win odds and the win ratio
regWO A generic function for win odds regression
regWO.data.frame Win odds regression using a data frame
simHCE Simulate 'hce' object with given event rates of time-to-event outcomes (Weibull), mean and SD of the continuous outcome (normal or log-normal) by treatment group
sizeWO Sample size calculation for the win odds test (no ties)
sizeWR Sample size calculation for the win ratio test (with WR = 1 null hypothesis)
stratWO A generic function for stratified win odds with adjustment
stratWO.data.frame Stratified win odds with adjustment
summaryWO A generic function for summarizing win odds
summaryWO.data.frame Win odds summary for a data frame
summaryWO.formula Win odds summary using formula syntax
summaryWO.hce Win odds summary for 'hce' objects