predict_survival_probability

object

Simulated incident individuals, with the same attributes specified in
<code>extract_covars</code> and found in the supplied registry data to <code>prevalence</code>.

newdata

The time at which to estimate the survival probability of the individual
in the corresponding row of <code>newdata</code>. Must have as many times as <code>newdata</code>
has rows.

times

This generic method is required for any survival object used in the main
<code>prevalence</code> function.

Estimates disease prevalence for a given index date using existing
registry data extended with Monte Carlo simulations following the method of Crouch et al (2014) <doi: 10.1016/j.canep.2014.02.005>.

Stuart Lacy

rprev

Estimating Disease Prevalence from Registry Data

Simon Crouch

Stephanie Lax

predict_survival_probability function

<dl><dt>object</dt>
<dd>The survival object itself</dd>
<dt>newdata</dt>
<dd>Simulated incident individuals, with the same attributes specified in
<code>extract_covars</code> and found in the supplied registry data to <code>prevalence</code>.</dd>
<dt>times</dt>
<dd>The time at which to estimate the survival probability of the individual
in the corresponding row of <code>newdata</code>. Must have as many times as <code>newdata</code>
has rows.</dd></dl>

Arguments

Predicts survival probability for given individuals at specific times. — predict_survival_probability

<dl>

<dt>object</dt>
<dd>The survival object itself</dd>


<dt>newdata</dt>
<dd>Simulated incident individuals, with the same attributes specified in
<code>extract_covars</code> and found in the supplied registry data to <code>prevalence</code>.</dd>


<dt>times</dt>
<dd>The time at which to estimate the survival probability of the individual
in the corresponding row of <code>newdata</code>. Must have as many times as <code>newdata</code>
has rows.</dd>

</dl>

predict_survival_probability: Predicts survival probability for given individuals at specific times.

Description

Usage

Value

Arguments