validate_survival_model: Tests that a custom survival object has the required...

In rprev: Estimating Disease Prevalence from Registry Data

Description

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

Usage

validate_survival_model(object, data, timeframe = 3652, sample_size = 10)

Arguments

object	The custom survival object.
data	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.
timeframe	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.
sample_size	The number of randomly drawn individuals to predict sample size for.

Value

None. Instead, messages get displayed to the console.

rprev documentation built on May 4, 2021, 5:08 p.m.