decisioncompare Small Sample Data — decisioncompare

Small dataset with only 30 patients for testing performance with limited sample sizes.

Usage

decisioncompare_small

Format

A data frame with 30 rows and 4 variables:

patient_id: Character: Patient identifier (PT001-PT030)
GoldStandard: Factor: True status ("Negative", "Positive"), 30% positive
Test1: Factor: First test ("Negative", "Positive"), Sens=0.85, Spec=0.88
Test2: Factor: Second test ("Negative", "Positive"), Sens=0.80, Spec=0.85
age: Numeric: Patient age in years (mean 55, SD 10)

Source

Generated test data for ClinicoPath package

Details

Small sample (n=30) tests stability of estimates and wide confidence intervals.

Examples

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