autoplot.sensitivity

Display the statistic of interest across various threshold values, possibly with confidence intervals.
Currently only works when varying thresholds relative to one or two variables.

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 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

Julien Peron

Eva Cantagallo

autoplot.sensitivity function

<dl><dt>object</dt>
<dd>output of the sensitivity method</dd>
<dt>plot</dt>
<dd>[logical] should the graph be displayed in a graphical window</dd>
<dt>col</dt>
<dd>[character vector] color used to identify the thresholds relative to a second variable.</dd>
<dt>ci</dt>
<dd>[logical] should the confidence intervals be displayed?</dd>
<dt>band</dt>
<dd>[logical] should the simulatenous confidence intervals be displayed?</dd>
<dt>label</dt>
<dd>[character] text used before the name of the variables in the legend.</dd>
<dt>position</dt>
<dd>relative position of the error bars for a given x value. Can for instance be <code>position_dodge(width = 5)</code>.</dd>
<dt>size.line</dt>
<dd>[numeric] width of the line connecting the point estimates.</dd>
<dt>size.point</dt>
<dd>[numeric] size of the point representing the point estimates.</dd>
<dt>size.ci</dt>
<dd>[numeric] width of the lines representing the confidence intervals.</dd>
<dt>alpha</dt>
<dd>[numeric] transparency for the area representing the simultaneous confidence intervals.</dd>
<dt>...</dt>
<dd>not used. For compatibility with the generic method.</dd></dl>

Arguments

Graphical Display for Sensitivity Analysis — autoplot.sensitivity

<dl>

<dt>object</dt>
<dd>output of the sensitivity method</dd>


<dt>plot</dt>
<dd>[logical] should the graph be displayed in a graphical window</dd>


<dt>col</dt>
<dd>[character vector] color used to identify the thresholds relative to a second variable.</dd>


<dt>ci</dt>
<dd>[logical] should the confidence intervals be displayed?</dd>


<dt>band</dt>
<dd>[logical] should the simulatenous confidence intervals be displayed?</dd>


<dt>label</dt>
<dd>[character] text used before the name of the variables in the legend.</dd>


<dt>position</dt>
<dd>relative position of the error bars for a given x value. Can for instance be <code>position_dodge(width = 5)</code>.</dd>


<dt>size.line</dt>
<dd>[numeric] width of the line connecting the point estimates.</dd>


<dt>size.point</dt>
<dd>[numeric] size of the point representing the point estimates.</dd>


<dt>size.ci</dt>
<dd>[numeric] width of the lines representing the confidence intervals.</dd>


<dt>alpha</dt>
<dd>[numeric] transparency for the area representing the simultaneous confidence intervals.</dd>


<dt>...</dt>
<dd>not used. For compatibility with the generic method.</dd>

</dl>

autoplot.sensitivity: Graphical Display for Sensitivity Analysis

Description

Usage

Arguments