.calcIntegralSurv_cpp

Compute the integral with respect to the jump in survival for pairs where both outcomes are censored.

internal

function

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

.calcIntegralSurv_cpp function

<dl><dt>survival</dt>
<dd>[matrix] Contains the jump times in the first column,
the survival in the other arm at times plus threshold in the second column,
and the jump in survival in the third column.</dd>
<dt>start</dt>
<dd>[integer] time at which to start the integral.</dd>
<dt>lastSurv</dt>
<dd>[numeric,&gt;0] last survival value for the survival function in the second column.</dd>
<dt>lastdSurv</dt>
<dd>[numeric,&gt;0] last survival value for the survival function in the third column.</dd>
<dt>returnDeriv</dt>
<dd>[logical] should the derivative regarding the survival parameters be return.</dd>
<dt>derivSurv</dt>
<dd>[matrix] matrix column filled of 0 whose number of rows is the number of parameters of the survival.</dd>
<dt>derivSurvD</dt>
<dd>[matrix] matrix column filled of 0 whose number of rows is the number of parameters of the survival used to compute the jumps.</dd></dl>

Arguments

Author

C++ Function Computing the Integral Terms for the Peron Method in the survival case. — .calcIntegralSurv_cpp

<dl>

<dt>survival</dt>
<dd>[matrix] Contains the jump times in the first column,
the survival in the other arm at times plus threshold in the second column,
and the jump in survival in the third column.</dd>


<dt>start</dt>
<dd>[integer] time at which to start the integral.</dd>


<dt>lastSurv</dt>
<dd>[numeric,&gt;0] last survival value for the survival function in the second column.</dd>


<dt>lastdSurv</dt>
<dd>[numeric,&gt;0] last survival value for the survival function in the third column.</dd>


<dt>returnDeriv</dt>
<dd>[logical] should the derivative regarding the survival parameters be return.</dd>


<dt>derivSurv</dt>
<dd>[matrix] matrix column filled of 0 whose number of rows is the number of parameters of the survival.</dd>


<dt>derivSurvD</dt>
<dd>[matrix] matrix column filled of 0 whose number of rows is the number of parameters of the survival used to compute the jumps.</dd>

</dl>

.calcIntegralSurv_cpp: C++ Function Computing the Integral Terms for the Peron Method in the survival case.

Description

Usage

Arguments

Author