decisioncompare Missing Data — decisioncompare

Dataset with 150 patients including missing values in gold standard and test results (~5-8% missingness).

Usage

decisioncompare_missing

Format

A data frame with 150 rows and 6 variables:

patient_id: Character: Patient identifier (PT001-PT150)
GoldStandard: Factor: True status with ~5% missing ("Negative", "Positive")
Test1: Factor: First test with ~7% missing ("Negative", "Positive"), Sens=0.85, Spec=0.88
Test2: Factor: Second test with ~5% missing ("Negative", "Positive"), Sens=0.80, Spec=0.85
Test3: Factor: Third test with ~8% missing ("Negative", "Positive"), Sens=0.82, Spec=0.90
age: Numeric: Patient age in years (mean 58, SD 12)

Source

Generated test data for ClinicoPath package

Details

Missing data introduced randomly to test listwise deletion and missing data handling warnings.

Examples

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