Implementation of the Generalized Pairwise Comparisons (GPC) as defined in Buyse (2010) <doi:10.1002/sim.3923> for complete observations, and extended in Peron (2018) <doi:10.1177/0962280216658320> to deal with rightcensoring. GPC compare two groups of observations (intervention vs. control group) regarding several prioritized endpoints to estimate the probability that a random observation drawn from one group performs better than a random observation drawn from the other group (MannWhitney parameter). The net benefit and win ratio statistics, i.e. the difference and ratio between the probabilities relative to the intervention and control groups, can then also be estimated. Confidence intervals and pvalues are obtained using permutations, a nonparametric bootstrap, or the asymptotic theory. The software enables the use of thresholds of minimal importance difference, stratification, nonprioritized endpoints (O'Brien test), and can handle rightcensoring and competingrisks.
Package details 


Author  Brice Ozenne [aut, cre] (<https://orcid.org/0000000196942956>), Julien Peron [ctb], Eva Cantagallo [aut] 
Maintainer  Brice Ozenne <brice.mh.ozenne@gmail.com> 
License  GPL3 
Version  2.1.0 
URL  https://github.com/bozenne/BuyseTest 
Package repository  View on CRAN 
Installation 
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