sim_covariates

Provide details on the desired covariate distributions and covariance for
for a simulation study.

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. 

sim_covariates function

<dl><dt>covariates</dt>
<dd>list. Named list of covariate mean values or probabilities as
generated through <code>bin_var()</code> (class <code>SimVarBin</code> or <code>cont_var()</code>
(class <code>SimVarCont</code>). See <code>details</code> for more information.</dd>
<dt>covariance_internal</dt>
<dd>matrix. Covariance matrix before binarization
for internal patients.</dd>
<dt>covariance_external</dt>
<dd>matrix. Covariance matrix before binarization
for external patients. Defaults to the internal covariance.</dd></dl>

Arguments

Specify covariates for simulation study — sim_covariates

<dl>

<dt>covariates</dt>
<dd>list. Named list of covariate mean values or probabilities as
generated through <code>bin_var()</code> (class <code>SimVarBin</code> or <code>cont_var()</code>
(class <code>SimVarCont</code>). See <code>details</code> for more information.</dd>


<dt>covariance_internal</dt>
<dd>matrix. Covariance matrix before binarization
for internal patients.</dd>


<dt>covariance_external</dt>
<dd>matrix. Covariance matrix before binarization
for external patients. Defaults to the internal covariance.</dd>

</dl>

sim_covariates: Specify covariates for simulation study

Description

Usage

Value

Arguments

Details

See Also

Examples