add_time

internal

method

A tool which aims to help evaluate the effect of external borrowing using an integrated approach described in Lewis et al., (2019) <doi:10.1080/19466315.2018.1497533> that combines propensity score and Bayesian dynamic borrowing methods.

Isaac Gravestock

psborrow

Bayesian Dynamic Borrowing with Propensity Score

Craig Gower-Page

Matt Secrest

Yichen Lu

Aijing Lin

F. Hoffmann-La Roche AG 

add_time function

<dl><dt>dt</dt>
<dd>a list of <code>matrix</code> generated in <code>simu_cov</code> containing simulated covariates information</dd>
<dt>eventObj</dt>
<dd>an object of class <code>.eventClass</code> generated in <code>set_event</code> including event information</dd>
<dt>clinInt</dt>
<dd>an object of class <code>.clinClass</code> generated in <code>set_clin</code> including internal trial information</dd>
<dt>clinExt</dt>
<dd>an object of class <code>.clinClass</code> generated in <code>set_clin</code> including external trial information</dd>
<dt>seed</dt>
<dd>the seed of R‘s random number generator. Default is the first element of .Random.seed</dd></dl>

Arguments

Simulate survival times — add_time

<dl>

<dt>dt</dt>
<dd>a list of <code>matrix</code> generated in <code>simu_cov</code> containing simulated covariates information</dd>


<dt>eventObj</dt>
<dd>an object of class <code>.eventClass</code> generated in <code>set_event</code> including event information</dd>


<dt>clinInt</dt>
<dd>an object of class <code>.clinClass</code> generated in <code>set_clin</code> including internal trial information</dd>


<dt>clinExt</dt>
<dd>an object of class <code>.clinClass</code> generated in <code>set_clin</code> including external trial information</dd>


<dt>seed</dt>
<dd>the seed of R‘s random number generator. Default is the first element of .Random.seed</dd>

</dl>

Simulate survival times

add_time: Simulate survival times

Description

Usage

Value

Arguments