predict.BuyseTTEM

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

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

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

Arguments