decisioncompare Common Disease Data — decisioncompare

Dataset with 160 patients and high disease prevalence (60%), typical of clinical diagnostic setting.

Usage

decisioncompare_common

Format

A data frame with 160 rows and 4 variables:

patient_id: Character: Patient identifier (PT001-PT160)
GoldStandard: Factor: True status ("Negative", "Positive"), 60% positive
Test1: Factor: First test ("Negative", "Positive"), Sens=0.85, Spec=0.88
Test2: Factor: Second test ("Negative", "Positive"), Sens=0.82, Spec=0.85
clinical_setting: Factor: Setting (Inpatient, Outpatient)

Source

Generated test data for ClinicoPath package

Details

High prevalence (60%) typical of symptomatic clinical populations. Contrasts with rare disease for prevalence impact on predictive values.

Examples

data(decisioncompare_common)
decisioncompare(data = decisioncompare_common, gold = "GoldStandard",
                goldPositive = "Positive", test1 = "Test1",
                test1Positive = "Positive", test2 = "Test2",
                test2Positive = "Positive", ci = TRUE)
#> Error in decisioncompare(data = decisioncompare_common, gold = "GoldStandard",     goldPositive = "Positive", test1 = "Test1", test1Positive = "Positive",     test2 = "Test2", test2Positive = "Positive", ci = TRUE): argument "test3Positive" is missing, with no default