summary.performance

Summary of the performance of binary classifiers

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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/worse/equivalently than a random observation drawn from the other group. Summary statistics such as the net treatment benefit, win ratio, or win odds are then deduced from these probabilities. Confidence intervals and p-values are obtained based on asymptotic results (Ozenne 2021 <doi:10.1177/09622802211037067>), non-parametric bootstrap, or permutations. 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

Eva Cantagallo

William Anderson

Julien Peron

Johan Verbeeck

summary.performance function

<dl><dt>object</dt>
<dd>output of performance.</dd>
<dt>order.model</dt>
<dd>[character vector] ordering of the models.</dd>
<dt>digits</dt>
<dd>[numeric vector of length 2] number of digits used for the estimates and p-values.</dd>
<dt>print</dt>
<dd>[logical] should the performance be printed in the console.</dd>
<dt>...</dt>
<dd>not used.</dd></dl>

Arguments

Summary Method for Performance Objects — summary.performance

<dl>

<dt>object</dt>
<dd>output of performance.</dd>


<dt>order.model</dt>
<dd>[character vector] ordering of the models.</dd>


<dt>digits</dt>
<dd>[numeric vector of length 2] number of digits used for the estimates and p-values.</dd>


<dt>print</dt>
<dd>[logical] should the performance be printed in the console.</dd>


<dt>...</dt>
<dd>not used.</dd>

</dl>

summary.performance: Summary Method for Performance Objects

Description

Usage

Arguments