predict.BuyseTTEM

Evaluate the cumulative incidence function (cif) / survival in one of the treatment groups.

methods

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

predict.BuyseTTEM function

<dl><dt>object</dt>
<dd>time to event model.</dd>
<dt>time</dt>
<dd>[numeric vector] time at which to evaluate the cif/survival.</dd>
<dt>treatment</dt>
<dd>[character/integer] Treatment or index of the treatment group.</dd>
<dt>strata</dt>
<dd>[character/integer] Strata or index of the strata.</dd>
<dt>cause</dt>
<dd>[integer] The cause relative to which the cif will be evaluated.</dd>
<dt>iid</dt>
<dd>[logical] Should the influence function associated with the cif/survival be output?</dd>
<dt>...</dt>
<dd>not used, for compatibility with the generic method.</dd></dl>

Arguments

Prediction with Time to Event Model — predict.BuyseTTEM

<dl>

<dt>object</dt>
<dd>time to event model.</dd>


<dt>time</dt>
<dd>[numeric vector] time at which to evaluate the cif/survival.</dd>


<dt>treatment</dt>
<dd>[character/integer] Treatment or index of the treatment group.</dd>


<dt>strata</dt>
<dd>[character/integer] Strata or index of the strata.</dd>


<dt>cause</dt>
<dd>[integer] The cause relative to which the cif will be evaluated.</dd>


<dt>iid</dt>
<dd>[logical] Should the influence function associated with the cif/survival be output?</dd>


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

</dl>

predict.BuyseTTEM: Prediction with Time to Event Model

Description

Usage

Value

Arguments