refData_match

This function takes as input
a working dataset of interest and a 
reference dataset.

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

refData_match function

<dl><dt>wDAT</dt>
<dd>A working dataset data.frame containing 
required columns <code>age</code>, <code>time</code>, <code>datediag_yr</code>, 
and <code>sex</code> corresponding to age, observed time (in years), 
diagnosis year, and sex (coded 'female'/'male'), respectively.</dd>
<dt>rDAT</dt>
<dd>A reference dataset data.frame containing
required columns <code>year</code>, <code>age</code>, <code>qx</code>,
and <code>sex</code> corresponding to reference year, 
reference age, event's interval hazard, and sex, respectively.</dd>
<dt>ncores</dt>
<dd>Integer number of parallel threads to decrease
matching runtime.</dd></dl>

Arguments

refData_match — refData_match

<dl>

<dt>wDAT</dt>
<dd>A working dataset data.frame containing 
required columns <code>age</code>, <code>time</code>, <code>datediag_yr</code>, 
and <code>sex</code> corresponding to age, observed time (in years), 
diagnosis year, and sex (coded 'female'/'male'), respectively.</dd>


<dt>rDAT</dt>
<dd>A reference dataset data.frame containing
required columns <code>year</code>, <code>age</code>, <code>qx</code>,
and <code>sex</code> corresponding to reference year, 
reference age, event's interval hazard, and sex, respectively.</dd>


<dt>ncores</dt>
<dd>Integer number of parallel threads to decrease
matching runtime.</dd>

</dl>

refData_match: refData_match

Description

Usage

Value

Arguments