nogoldstandard Rare Disease Data — nogoldstandard

Dataset with 300 patients and very low disease prevalence (5%). Three tests with good characteristics (Sens: 0.80-0.75, Spec: 0.90-0.88).

Usage

nogoldstandard_rare

Format

A data frame with 300 rows and 5 variables:

patient_id: Character: Patient identifier (PT001-PT300)
Test1: Factor: First test ("Negative", "Positive"), Sens=0.80, Spec=0.90
Test2: Factor: Second test ("Negative", "Positive"), Sens=0.75, Spec=0.92
Test3: Factor: Third test ("Negative", "Positive"), Sens=0.78, Spec=0.88
screening_site: Factor: Screening site (Site_1 to Site_10)

Source

Generated test data for ClinicoPath package

Details

Rare disease setting (5% prevalence) typical of population screening. Tests stability of estimation with few positive cases.

Examples

data(nogoldstandard_rare)
nogoldstandard(data = nogoldstandard_rare,
               test1 = "Test1", test1Positive = "Positive",
               test2 = "Test2", test2Positive = "Positive",
               test3 = "Test3", test3Positive = "Positive")
#> Error in nogoldstandard(data = nogoldstandard_rare, test1 = "Test1", test1Positive = "Positive",     test2 = "Test2", test2Positive = "Positive", test3 = "Test3",     test3Positive = "Positive"): argument "test4Positive" is missing, with no default