getCount

S4BuyseTest-getCount

getCount,S4BuyseTest-method

an R object of class <code><a href="/link/?package=BuyseTest&version=2.1.3" s4buysetest'="" data-mini-rdoc="BuyseTest::"></a>'>S4BuyseTest</code>, i.e., output of <code><a rd-options="" href="/link/BuyseTest?package=BuyseTest&version=2.1.3" data-mini-rdoc="BuyseTest::BuyseTest">BuyseTest</a></code>

object

the type of pairs to be counted. Can be <code>"favorable"</code>, <code>"unfavorable"</code>, <code>neutral</code>, or <code>uninf</code>. Can also be <code>"all"</code> to select all of them.

type

Extract the number of favorable, unfavorable, neutral, uninformative pairs.

S4BuyseTest-method

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

BuyseTest

Generalized Pairwise Comparisons

Julien Peron

Eva Cantagallo

getCount function

an R object of class <code><a href='<a href='S4BuyseTest'></a>'>S4BuyseTest</a></code>, i.e., output of <code><a rd-options='' href='BuyseTest'>BuyseTest</a></code>

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getCount: Extract the Number of Favorable, Unfavorable, Neutral, Uninformative pairs

Description

Usage

Arguments

Value