pscEst.flexsurvreg

A function which performs the Bayesian MCMC estimation procedure for
estimating the efficacy parameter (\(\beta\)) using personalised sunthetic
controls methodology.

Allows the comparison of data cohorts (DC) against a Counter Factual Model (CFM) and measures the difference in terms of an efficacy parameter.  Allows the application of Personalised Synthetic Controls.

Richard Jackson

Personalised Synthetic Controls

pscEst.flexsurvreg function

<dl><dt>CFM</dt>
<dd>a model object supplied to pscfit</dd>
<dt>DC_clean</dt>
<dd>a cleaned dataset ontained using dataComb().</dd>
<dt>nsim</dt>
<dd>the number of MCMC simulations to run</dd>
<dt>start</dt>
<dd>the stating value for</dd>
<dt>start.se</dt>
<dd>the stating value fo</dd>
<dt>trt</dt>
<dd>an optional vector denoting treatment allocations where multiple
treatment comparisons are being made</dd></dl>

Arguments

Function for estimating initial parameter values  'flexsurvreg' — pscEst.flexsurvreg

<dl>

<dt>CFM</dt>
<dd>a model object supplied to pscfit</dd>


<dt>DC_clean</dt>
<dd>a cleaned dataset ontained using dataComb().</dd>


<dt>nsim</dt>
<dd>the number of MCMC simulations to run</dd>


<dt>start</dt>
<dd>the stating value for</dd>


<dt>start.se</dt>
<dd>the stating value fo</dd>


<dt>trt</dt>
<dd>an optional vector denoting treatment allocations where multiple
treatment comparisons are being made</dd>

</dl>

pscEst.flexsurvreg: Function for estimating initial parameter values 'flexsurvreg'

Description

Usage

Value

Arguments

Details