set_n

This function conducts validity check and generates a matrix with two binary variables indicating<ol>
<li>if the observation belongs to the external trial</li>
<li>if the observation belongs to the treatment arm.</li>
</ol>

Constructor

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 

set_n function

<dl><dt>ssC</dt>
<dd>Number of observations in the internal control arm. Default is 100</dd>
<dt>ssE</dt>
<dd>Number of observations in the internal experiment arm. Default is the same number
of observations as <code>ssC</code></dd>
<dt>ssExt</dt>
<dd>Number of observations in the external control arm. Default is the same number
of observations as <code>ssC</code></dd></dl>

Arguments

Simulate external trial indicator and treatment arm indicator — set_n

<dl>

<dt>ssC</dt>
<dd>Number of observations in the internal control arm. Default is 100</dd>


<dt>ssE</dt>
<dd>Number of observations in the internal experiment arm. Default is the same number
of observations as <code>ssC</code></dd>


<dt>ssExt</dt>
<dd>Number of observations in the external control arm. Default is the same number
of observations as <code>ssC</code></dd>

</dl>

set_n: Simulate external trial indicator and treatment arm indicator

Description

Usage

Value

Arguments