summary.MRMCbinary: Summary method for 'MRMCbinary' objects

In MRMCbinary: Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests

Summary method for MRMCbinary objects

Description

Summarizes the results for an object of class MRMCbinary.

Usage

## S3 method for class 'MRMCbinary'
summary(object, digits = max(1L, getOption("digits") - 3L), ...)

Arguments

object	An object of class MRMCbinary.
digits	Number of significant digits used to format the reported results. Default: max(1L, getOption("digits") - 3L).
...	Further arguments (currently not used).

Details

Summarizes the results from the conditional logistic regression analysis. In the summarized results, the odds ratio, confidence interval for the odds ratio, and P value are reported.

When comparing specificities, the reported odds ratio and confidence interval are based on the false positive fraction (FPF) among non-diseased cases. Therefore, an odds ratio greater than 1 implies lower specificity than the reference. For interpretation on the specificity scale, if the reported odds ratio and confidence interval are OR and (L, U), then the corresponding specificity odds ratio and confidence interval are 1/OR and (1/U, 1/L), respectively.

Value

No return value, called for side effects.

See Also

MRMCbinary, print.MRMCbinary, summary

Examples

## Load example data
data(VanDyke)

## Return the first parts of an object
head(VanDyke)

## Extract unique modalities
unique(VanDyke$treatment)

## Extract Unique readers
unique(VanDyke$reader)

## Create binary test results (Y_ijk)
VanDyke$Y <- as.numeric(VanDyke$rating >= 3)

## Example usage of MRMCbinary function:
# When comparing the sensitivities and specificities between modalities
modality_result <- MRMCbinary(data = VanDyke, Modality = treatment, Reader = reader,
                              Case = case, D = truth, Y = Y, measure = "All",
                              effect = "Modality", interaction = NULL,
                              reference.Modality = "1", reference.Reader = NULL)
summary(modality_result, digits = 3)

# When comparing the sensitivities and specificities between readers
reader_result <- MRMCbinary(data = VanDyke, Modality = treatment, Reader = reader,
                            Case = case, D = truth, Y = Y, measure = "All",
                            effect = "Reader", interaction = NULL,
                            reference.Modality = NULL, reference.Reader = "1")
summary(reader_result, digits = 3)

# When comparing the sensitivities and specificities
#  between modalities and between readers together
#  not considering interaction between modalities and readers
both_result_wo_int <- MRMCbinary(data = VanDyke, Modality = treatment, Reader = reader,
                                 Case = case, D = truth, Y = Y, measure = "All",
                                 effect = "Both", interaction = FALSE,
                                 reference.Modality = "1", reference.Reader = "1")
summary(both_result_wo_int, digits = 3)

# When comparing the sensitivities and specificities
#  between modalities and between readers together
#  considering interaction between modalities and readers
both_result_with_int <- MRMCbinary(data = VanDyke, Modality = treatment, Reader = reader,
                                   Case = case, D = truth, Y = Y, measure = "All",
                                   effect = "Both", interaction = TRUE,
                                   reference.Modality = "1", reference.Reader = "1")
summary(both_result_with_int, digits = 3)

MRMCbinary documentation built on March 23, 2026, 5:07 p.m.