decisioncompare Perfect Test Data — decisioncompare

Dataset with 120 patients comparing perfect test (Sens=1.0, Spec=1.0) against imperfect test (Sens=0.85, Spec=0.88).

Usage

decisioncompare_perfect

Format

A data frame with 120 rows and 4 variables:

patient_id: Character: Patient identifier (PT001-PT120)
GoldStandard: Factor: True status ("Negative", "Positive"), 30% positive
PerfectTest: Factor: Perfect test ("Negative", "Positive"), Sens=1.0, Spec=1.0
ImperfectTest: Factor: Imperfect test ("Negative", "Positive"), Sens=0.85, Spec=0.88
age: Numeric: Patient age in years (mean 60, SD 11)

Source

Generated test data for ClinicoPath package

Details

Edge case demonstrating perfect test performance (100% agreement with gold standard) compared to realistic imperfect test.

Examples

data(decisioncompare_perfect)
decisioncompare(data = decisioncompare_perfect, gold = "GoldStandard",
                goldPositive = "Positive", test1 = "PerfectTest",
                test1Positive = "Positive", test2 = "ImperfectTest",
                test2Positive = "Positive", statComp = TRUE)
#> Error in decisioncompare(data = decisioncompare_perfect, gold = "GoldStandard",     goldPositive = "Positive", test1 = "PerfectTest", test1Positive = "Positive",     test2 = "ImperfectTest", test2Positive = "Positive", statComp = TRUE): argument "test3Positive" is missing, with no default