nogoldstandard Diagnostic Validation Data — nogoldstandard

Dataset with 190 patients for validating a new diagnostic test against two reference tests without a gold standard. Tests have good characteristics (Sens: 0.88-0.82, Spec: 0.90-0.88).

Usage

nogoldstandard_validation

Format

A data frame with 190 rows and 5 variables:

patient_id: Character: Patient identifier (PT001-PT190)
New_Test: Factor: Test being validated ("Negative", "Positive"), Sens=0.88, Spec=0.90
Reference1: Factor: First reference test ("Negative", "Positive"), Sens=0.85, Spec=0.88
Reference2: Factor: Second reference test ("Negative", "Positive"), Sens=0.82, Spec=0.92
test_site: Factor: Testing site (Academic, Community, Private)

Source

Generated test data for ClinicoPath package

Details

Simulated with 32% prevalence. Designed for diagnostic test validation studies using latent class or Bayesian methods.

Examples

data(nogoldstandard_validation)
nogoldstandard(data = nogoldstandard_validation,
               test1 = "New_Test", test1Positive = "Positive",
               test2 = "Reference1", test2Positive = "Positive",
               test3 = "Reference2", test3Positive = "Positive",
               clinicalPreset = "diagnostic_validation")
#> Error in nogoldstandard(data = nogoldstandard_validation, test1 = "New_Test",     test1Positive = "Positive", test2 = "Reference1", test2Positive = "Positive",     test3 = "Reference2", test3Positive = "Positive", clinicalPreset = "diagnostic_validation"): argument "test4Positive" is missing, with no default