plot_SURVs

Plot net survival probabilities per model

Provides statistical tools for
analyzing net and relative survival, with a key feature
of relaxing the assumption of independent censoring and
incorporating the effect of dependent competing risks.
It employs a copula-based methodology, specifically the
Archimedean copula, to simulate data, conduct survival
analysis, and offer comparisons with other methods.
This approach is detailed in the work of
Adatorwovor et al. (2022) <doi:10.1515/ijb-2021-0016>.

Paul Little

dMrs

Competing Risk in Dependent Net Survival Analysis

Reuben Adatorwovor

plot_SURVs function

<dl><dt>run_ANA</dt>
<dd>The object outputted from <code>run_analyses</code>
function.</dd>
<dt>MULTIPLE</dt>
<dd>A boolean set to <code>TRUE</code> to display
a survival plot per <code>theta</code> with accompanying maximum 
log likelihood. Otherwise, the survival plots will be 
overlayed with a legend.</dd>
<dt>ncol</dt>
<dd>Integer number of columns of plots to display</dd>
<dt>ALPHA</dt>
<dd>A numeric value between 0 and 1 to control the
confidence band transparency.</dd></dl>

Arguments

plot_SURVs — plot_SURVs

<dl>

<dt>run_ANA</dt>
<dd>The object outputted from <code>run_analyses</code>
function.</dd>


<dt>MULTIPLE</dt>
<dd>A boolean set to <code>TRUE</code> to display
a survival plot per <code>theta</code> with accompanying maximum 
log likelihood. Otherwise, the survival plots will be 
overlayed with a legend.</dd>


<dt>ncol</dt>
<dd>Integer number of columns of plots to display</dd>


<dt>ALPHA</dt>
<dd>A numeric value between 0 and 1 to control the
confidence band transparency.</dd>

</dl>

plot_SURVs: plot_SURVs

Description

Usage

Value

Arguments