SimSampleSize-class

.sim_samplesize

A class for creating matrices for simulation studies
containing flags specifying whether the patient is from the concurrent
trial or not (<code>ext</code> = 0 for concurrent trial, <code>ext</code> = 1 for historical
data) and whether the patient is on the experimental therapy or not
(<code>trt</code> = 0 for no experimental therapy, <code>trt</code> = 1 for experimental therapy).

Bayesian dynamic borrowing is an approach to incorporating external
data to supplement a randomized, controlled trial analysis in which
external data are incorporated in a dynamic way (e.g., based on similarity
of outcomes); see Viele 2013 <doi:10.1002/pst.1589> for an overview.
This package implements the hierarchical commensurate prior approach to dynamic borrowing
as described in Hobbes 2011 <doi:10.1111/j.1541-0420.2011.01564.x>.
There are three main functionalities. First, 'psborrow2' provides a user-friendly
interface for applying dynamic borrowing on the study results handles the Markov Chain
Monte Carlo sampling on behalf of the user. Second, 'psborrow2' provides a
simulation framework to compare different borrowing parameters (e.g. full borrowing, no
borrowing, dynamic borrowing) and other trial and borrowing characteristics
(e.g. sample size, covariates) in a unified way. Third, 'psborrow2' provides
a set of functions to generate data for simulation studies, and also allows
the user to specify their own data generation process. This package is designed to
use the sampling functions from 'cmdstanr' which can be installed from
<https://stan-dev.r-universe.dev>.

Matt Secrest

psborrow2

Bayesian Dynamic Borrowing Analysis and Simulation

Isaac Gravestock

Craig Gower-Page

Manoj Khanal

Mingyang Shan

Kexin Jin

Zhi Yang

Genentech, Inc. 

SimSampleSize-class function

<dl>
<dt><code>n_internal_control</code></dt>
<dd>integer. Number of patients to be simulated in the
internal control arm.</dd></dl>
<dt><code>n_external_control</code></dt>
<dd>integer. Number of patients to be simulated in the
external control arm.</dd>
<dt><code>n_internal_experimental</code></dt>
<dd>integer. Number of patients to be simulated
in the internal experimental arm.</dd>
<dt><code>mat</code></dt>
<dd>matrix. Matrix with two columns, <code>ext</code> (flag for being from
external data source) and <code>trt</code> (flag for receiving experimental
treatment)</dd>

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SimSampleSize Class — SimSampleSize-class

<dl>
<dt><code>n_internal_control</code></dt>
<dd>integer. Number of patients to be simulated in the
internal control arm.</dd>


<dt><code>n_external_control</code></dt>
<dd>integer. Number of patients to be simulated in the
external control arm.</dd>


<dt><code>n_internal_experimental</code></dt>
<dd>integer. Number of patients to be simulated
in the internal experimental arm.</dd>


<dt><code>mat</code></dt>
<dd>matrix. Matrix with two columns, <code>ext</code> (flag for being from
external data source) and <code>trt</code> (flag for receiving experimental
treatment)</dd>


</dl>

<code>SimSampleSize</code> Class

SimSampleSize-class: `SimSampleSize` Class

Description

Arguments

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