validate_survival_model

object

Registry data in the form of a data frame. Ideally
will be the same source that will be used for the prevalence
estimation later on.

data

Maximum time at which to test survival probability in days.
If not supplied then chooses random values over a period of 10 years, which
should be suitable for many diseases.

timeframe

The number of randomly drawn individuals to predict
sample size for.

sample_size

Runs checks to assess whether a custom survival model is
suitable for use in <code>prevalence</code>. Provides useful
diagnostic messages if any issues are encountered.

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>.

validate_survival_model: Tests that a custom survival object has the required attributes for use in the `prevalence` function.

Description

Usage

Arguments

Value