print.MRMCbinary {MRMCbinary} | R Documentation |
Print for MRMCbinary
objects
Description
Print the results for object of class MRMCbinary
.
Usage
## S3 method for class 'MRMCbinary'
print(x, ...)
Arguments
x |
An object for class |
... |
Further arguments (currently not used). |
Details
Print the results for object of class MRMCbinary
.
From the conditional logistic regression results, "Estimate" corresponds to the log odds ratio and "SE" corresponds to the standard error of the log odds ratio.
Value
No return value, called for side effects.
See Also
MRMCbinary
, summary.MRMCbinary
, print
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)
print(modality_result)
# 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")
print(reader_result)
# 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")
print(both_result_wo_int)
# 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")
print(both_result_with_int)
[Package MRMCbinary version 1.0.5 Index]