lik.flexsurvreg

A function which defines the likelihood for a PSC model where the Counter
Factual Model (CFM) takes the form of a 'flexsurvreg' object and an efficacy
parameter (\(\beta\)) is being estimated. For more details on fitting please see
?pscfit and ?pscEst

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

lik.flexsurvreg function

<dl><dt>beta</dt>
<dd>a parameter to be estimate</dd>
<dt>DC_clean</dt>
<dd>a cleaned dataset including covariates to match the CFM</dd></dl>

Arguments

Likelihood function for a psc model of class 'flexsurvreg' — lik.flexsurvreg

<dl>

<dt>beta</dt>
<dd>a parameter to be estimate</dd>


<dt>DC_clean</dt>
<dd>a cleaned dataset including covariates to match the CFM</dd>

</dl>

lik.flexsurvreg: Likelihood function for a psc model of class 'flexsurvreg'

Description

Usage

Arguments

Details