survTrans

survTrans.ExponentialTransition

survTrans.WeibullTransition

Survival Function for Different Transition Models

Based on the illness-death model a large number of clinical
trials with oncology endpoints progression-free survival (PFS) and
overall survival (OS) can be simulated, see Meller, Beyersmann and
Rufibach (2019) <doi:10.1002/sim.8295>. The simulation set-up allows
for random and event-driven censoring, an arbitrary number of
treatment arms, staggered study entry and drop-out. Exponentially,
Weibull and piecewise exponentially distributed survival times can be
generated. The correlation between PFS and OS can be calculated.

Alexandra Erdmann

simIDM

Simulating Oncology Trials using an Illness-Death Model

Kaspar Rufibach

Holger Löwe

Daniel Sabanés Bové

F. Hoffmann-La Roche AG 

University of Ulm 

survTrans function

<dl><dt>transition</dt>
<dd>(<code>ExponentialTransition</code> or <code>WeibullTransition</code>) 
see <code>exponential_transition()</code> or <code>weibull_transition()</code> for details.</dd>
<dt>t</dt>
<dd>(<code>numeric</code>) time at which survival probability is to be computed.</dd>
<dt>trans</dt>
<dd>(<code>integer</code>) index specifying the transition type.</dd></dl>

Arguments

<ul>
<li><code>survTrans(ExponentialTransition)</code>: for the Exponential Transition Model</li>
<li><code>survTrans(WeibullTransition)</code>: for the Weibull Transition Model</li>
</ul>

Methods (by class)

Survival Function for Different Transition Models — survTrans

<dl>

<dt>transition</dt>
<dd>(<code>ExponentialTransition</code> or <code>WeibullTransition</code>) 
see <code>exponential_transition()</code> or <code>weibull_transition()</code> for details.</dd>


<dt>t</dt>
<dd>(<code>numeric</code>) time at which survival probability is to be computed.</dd>


<dt>trans</dt>
<dd>(<code>integer</code>) index specifying the transition type.</dd>

</dl>

survTrans: Survival Function for Different Transition Models

Description

Usage

Value

Arguments

Methods (by class)

Examples