spline_surv_est

A function to estimate the survival function based on parameter estimates -
used in ootstrapping CFM for CIs

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

spline_surv_est function

<dl><dt>lam</dt>
<dd>parameters of the flexible spline model</dd>
<dt>kn</dt>
<dd>knots included in the flexible spline model</dd>
<dt>k</dt>
<dd>number of knots in the flexible spline model</dd>
<dt>haz_co</dt>
<dd>parameters for the baseline hazard function in the flexible
spline model</dd>
<dt>cov_co</dt>
<dd>covariate parameters of the flexible spline model</dd>
<dt>cov</dt>
<dd>a matrix of covaraites from the Data Cohort</dd>
<dt>tm</dt>
<dd>time at which to assess the survival function</dd>
<dt>beta</dt>
<dd>parameter with which to adjust the baseline function (defaults to
beta=0)</dd></dl>

Arguments

Counter Factual Model - summary — spline_surv_est

<dl>

<dt>lam</dt>
<dd>parameters of the flexible spline model</dd>


<dt>kn</dt>
<dd>knots included in the flexible spline model</dd>


<dt>k</dt>
<dd>number of knots in the flexible spline model</dd>


<dt>haz_co</dt>
<dd>parameters for the baseline hazard function in the flexible
spline model</dd>


<dt>cov_co</dt>
<dd>covariate parameters of the flexible spline model</dd>


<dt>cov</dt>
<dd>a matrix of covaraites from the Data Cohort</dd>


<dt>tm</dt>
<dd>time at which to assess the survival function</dd>


<dt>beta</dt>
<dd>parameter with which to adjust the baseline function (defaults to
beta=0)</dd>

</dl>

spline_surv_est: Counter Factual Model - summary

Description

Usage

Value

Arguments