print.diagCI

<p>The diagCI object created by diagCI()</p>

digits

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<p>Prints results from diagCI
As is typical for R, this is run automatically when you type in an object name, and is typically not run directly by the end-user.</p>

Computes appropriate confidence intervals for the likelihood ratio tests commonly used in medicine/epidemiology, using the method of Marill et al. (2015) <doi:10.1177/0962280215592907>.  It is particularly useful when the sensitivity or specificity in the sample is 100%.  Note that this does not perform the test on nested models--for that, see 'epicalc::lrtest'.

Ari Friedman

bootLR

Bootstrapped Confidence Intervals for (Negative) Likelihood
Ratio Tests

print.diagCI function

Prints results from diagCI
As is typical for R, this is run automatically when you type in an object name, and is typically not run directly by the end-user. — print.diagCI

Prints results from diagCI
As is typical for R, this is run automatically when you type in an object name, and is typically not run directly by the end-user.

print.diagCI: Prints results from diagCI As is typical for R, this is run automatically when you type in an object name, and is typically not run directly by the end-user.

Description

Usage

Arguments

Value

Examples