BuyseRes-iid

iid,BuyseRes-method

an R object of class <code><a href="/link/?package=BuyseTest&version=1.8.5" buyseres'="" data-mini-rdoc="BuyseTest::"></a>'>BuyseRes</code>, i.e., output of <code><a rd-options="" href="/link/BuyseTest?package=BuyseTest&version=1.8.5" data-mini-rdoc="BuyseTest::BuyseTest">BuyseTest</a></code>

object

[character] for which endpoint(s) the H-decomposition should be output?
If <code>NULL</code> returns the sum of the H-decomposition over all endpoints.

endpoint

[logical] if <code>TRUE</code> the iid is centered and multiplied by the sample size.
Otherwise not.

normalize

[character] type of iid to be output.
Can be only for the nuisance parameters (<code>"nuisance"</code>),
or for the u-statistic given the nuisance parameters (<code>"u-statistic"</code>),
or both.

type

[numeric vector] return the H-decomposition aggregated by cluster.

cluster

Extract the H-decomposition of the GPC estimator.

BuyseRes-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.
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 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 corrections to deal with missing values.

Brice Ozenne

BuyseTest

Generalized Pairwise Comparisons

Julien Peron

Eva Cantagallo

iid 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>

iid: Extract the H-decomposition of the Estimator

Description

Usage

Arguments

See Also