gemCFM

Model for a survival outcome based on Gemcitbine patients from ESPAC-3. A
generated model with a survival endpoint and a cuymulative hazard function
estimated using flexible parametric splines. Data for the model were obtained
from the ESPAC-3 trials

datasets

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

gemCFM function

A model of class 'pscCFM' containg a 'flexsurvreg' model:<dl>
 <dt>gamma</dt>
<dd>cumulative baseline hazard parameters</dd> <dt>nodes</dt>
<dd>negative (n=1) or positive (n=2) lymph nodes</dd> <dt>grade</dt>
<dd>tumour grade (1,2 or 3)</dd> <dt>lca199</dt>
<dd>log transformed ca19.9</dd> <dt>ResecM</dt>
<dd>Resection Margins)</dd>
</dl>

Format

gemCFM — gemCFM

A model of class 'pscCFM' containg a 'flexsurvreg' model:<dl>
 <dt>gamma</dt>
<dd>cumulative baseline hazard parameters</dd>

 <dt>nodes</dt>
<dd>negative (n=1) or positive (n=2) lymph nodes</dd>

 <dt>grade</dt>
<dd>tumour grade (1,2 or 3)</dd>

 <dt>lca199</dt>
<dd>log transformed ca19.9</dd>

 <dt>ResecM</dt>
<dd>Resection Margins)</dd>


</dl>

gemCFM: gemCFM

Description

Usage

Arguments

Format