dx_lrt_neg: Calculate Negative Likelihood Ratio

In overdodactyl/diagnosticSummary: Diagnostic Summaries

Calculate Negative Likelihood Ratio

Description

Calculates the Negative Likelihood Ratio (LR-) from a confusion matrix object. LR- compares the probability of a negative test result among patients with the disease to the probability of a negative test result among patients without the disease.

Usage

dx_lrt_neg(cm, detail = "full", ...)

Arguments

cm	A dx_cm object created by dx_cm().
detail	Character specifying the level of detail in the output: "simple" for raw estimate, "full" for detailed estimate including 95% confidence intervals.
...	Additional arguments to pass to metric_binomial function, such as citype for type of confidence interval method.

Details

The negative likelihood ratio is calculated as (FN / (TP + FN)) / (TN / (FP + TN)). It is used to assess the diagnostic usefulness of a test. A LR- closer to 0 indicates a good diagnostic test that can confidently rule out the disease when the test is negative.

Value

Depending on the detail parameter, returns a numeric value representing the calculated metric or a data frame/tibble with detailed diagnostics including confidence intervals and possibly other metrics relevant to understanding the metric.

Examples

cm <- dx_cm(dx_heart_failure$predicted, dx_heart_failure$truth,
  threshold =
    0.5, poslabel = 1
)
simple_lrn <- dx_lrt_neg(cm, detail = "simple")
detailed_lrn <- dx_lrt_neg(cm)
print(simple_lrn)
print(detailed_lrn)

overdodactyl/diagnosticSummary documentation built on Jan. 28, 2024, 10:07 a.m.