confint.BuyseTestAuc

object of class <code>BuyseTestAUC</code> (output of the <code>auc</code> function).

object

not used. For compatibility with the generic function.

Extract the AUC value with its Confidence Interval and p-value testing whether the AUC equals 0.5.

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 right-censoring.
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 (Mann-Whitney 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 p-values are obtained using permutations, a non-parametric bootstrap, or the asymptotic theory.
The software enables the use of thresholds of minimal importance difference,
stratification, non-prioritized endpoints (O'Brien test), and can handle right-censoring and competing-risks.

Brice Ozenne

confint.BuyseTestAuc: Extract the AUC value with its Confidence Interval

Description

Usage

Arguments

Value