nogoldstandard Pathology Data - Inter-Pathologist Agreement — nogoldstandard

Three-pathologist dataset with 180 patients for assessing diagnostic agreement without a gold standard. Pathologists have varying sensitivity (0.88, 0.85, 0.82) and high specificity (0.92, 0.90, 0.93).

Usage

nogoldstandard_pathology

Format

A data frame with 180 rows and 6 variables:

patient_id: Character: Patient identifier (PT001-PT180)
Pathologist1: Factor: First pathologist diagnosis ("Benign", "Malignant"), Sens=0.88, Spec=0.92
Pathologist2: Factor: Second pathologist diagnosis ("Benign", "Malignant"), Sens=0.85, Spec=0.90
Pathologist3: Factor: Third pathologist diagnosis ("Benign", "Malignant"), Sens=0.82, Spec=0.93
tumor_site: Factor: Tumor location (Lung, Breast, Colon, Prostate)
specimen_quality: Factor: Specimen quality (Adequate, Limited, Poor)

Source

Generated test data for ClinicoPath package

Details

Simulated with 25% malignancy prevalence. Pathologists show realistic variation in diagnostic accuracy. Ideal for pathology agreement studies using latent class analysis.

Examples

data(nogoldstandard_pathology)
nogoldstandard(data = nogoldstandard_pathology,
               test1 = "Pathologist1", test1Positive = "Malignant",
               test2 = "Pathologist2", test2Positive = "Malignant",
               test3 = "Pathologist3", test3Positive = "Malignant",
               clinicalPreset = "pathology_agreement")
#> Error in nogoldstandard(data = nogoldstandard_pathology, test1 = "Pathologist1",     test1Positive = "Malignant", test2 = "Pathologist2", test2Positive = "Malignant",     test3 = "Pathologist3", test3Positive = "Malignant", clinicalPreset = "pathology_agreement"): argument "test4Positive" is missing, with no default