dataSim

pscDesign performs the simulations required to estimate the Power of a study
designed using personalised synthetic controls.

Tools for the design of prospective studies using
Personalised Synthetic Controls.  Can be used in either single arm or
randomised studies.

Richard Jackson

pscDesign

Study Design for Personalised Synthetic Controls

dataSim function

<dl><dt>CFM</dt>
<dd>a Counter-Factual model</dd>
<dt>n0</dt>
<dd>number of patients allocated to the control arm (defaults to 0 -
i.e. single arm study).</dd>
<dt>n1</dt>
<dd>number of patients allocated to the experimental arm</dd>
<dt>beta</dt>
<dd>the (log) HR used in the study design</dd>
<dt>fuTime</dt>
<dd>Follow up time for the study design</dd>
<dt>recTime</dt>
<dd>Recruitment time for the study design</dd>
<dt>rec</dt>
<dd>a study recruitment estimate obtained using the recForcast()
function. If specified, recTime will be ignored.</dd></dl>

Arguments

Study design using Personalised Synthetic Controls — dataSim

<dl>

<dt>CFM</dt>
<dd>a Counter-Factual model</dd>


<dt>n0</dt>
<dd>number of patients allocated to the control arm (defaults to 0 -
i.e. single arm study).</dd>


<dt>n1</dt>
<dd>number of patients allocated to the experimental arm</dd>


<dt>beta</dt>
<dd>the (log) HR used in the study design</dd>


<dt>fuTime</dt>
<dd>Follow up time for the study design</dd>


<dt>recTime</dt>
<dd>Recruitment time for the study design</dd>


<dt>rec</dt>
<dd>a study recruitment estimate obtained using the recForcast()
function. If specified, recTime will be ignored.</dd>

</dl>

dataSim: Study design using Personalised Synthetic Controls

Description

Usage

Value

Arguments

Details

Examples