getCount

BuyseRes-getCount

getCount,BuyseRes-method

an R object of class <code><a href="/link/?package=BuyseTest&version=1.6" buyseres'="" data-mini-rdoc="BuyseTest::"></a>'>BuyseRes</code>, i.e., output of <code><a rd-options="" href="/link/BuyseTest?package=BuyseTest&version=1.6" 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.

BuyseRes-method

Implementation of the Generalized Pairwise Comparisons (GPC). GPC
compare two groups of observations (intervention vs. control
group) regarding several prioritized endpoints. The net benefit
and win ratio statistics can then be estimated and corresponding
confidence intervals and p-values can be estimated using
resampling methods or the asymptotic U-statistic theory. The software enables the use of thresholds of
minimal important difference as well as stratification. Censored observations
can be handled using Gehan's modification of the Wilcoxon statistic, inverse
probability of censoring weights, or, in the case of right
censoring, using the empirical survival curves in each group to
estimating the expected score of the censored pairs.

Brice Ozenne

BuyseTest

Generalized Pairwise Comparisons

Julien Peron

getCount function

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

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

Description

Usage

Arguments

Value