survfit.prevalence

formula

A list or dataframe with the covariate values to calculate
survival probabilities for. Defaults to using the mean values from the the
original dataset that the model was fit to.

newdata

Other arguments to <code>survfit</code>.

Calculates bootstrapped survival probabilities from the Weibull models fitted
to the <code>prevalence</code> object.

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

survfit.prevalence function

<dl><dt>formula</dt>
<dd>A <code>prevalence</code> object.</dd>
<dt>newdata</dt>
<dd>A list or dataframe with the covariate values to calculate
survival probabilities for. Defaults to using the mean values from the the
original dataset that the model was fit to.</dd>
<dt>...</dt>
<dd>Other arguments to <code>survfit</code>.</dd></dl>

Arguments

Form bootstrapped survival curves. — survfit.prevalence

<dl>

<dt>formula</dt>
<dd>A <code>prevalence</code> object.</dd>


<dt>newdata</dt>
<dd>A list or dataframe with the covariate values to calculate
survival probabilities for. Defaults to using the mean values from the the
original dataset that the model was fit to.</dd>


<dt>...</dt>
<dd>Other arguments to <code>survfit</code>.</dd>

</dl>

survfit.prevalence: Form bootstrapped survival curves.

Description

Usage

Value

Arguments