nogoldstandard Large Sample Data

Large dataset with 500 patients for testing computational efficiency and performance with substantial sample sizes. Three tests with good characteristics.

Usage

nogoldstandard_large

Format

A data frame with 500 rows and 7 variables:

patient_id

Character: Patient identifier (PT0001-PT0500)

Test1

Factor: First test ("Negative", "Positive"), Sens=0.87, Spec=0.87

Test2

Factor: Second test ("Negative", "Positive"), Sens=0.84, Spec=0.89

Test3

Factor: Third test ("Negative", "Positive"), Sens=0.81, Spec=0.91

age

Numeric: Patient age in years (mean 59, SD 13)

sex

Factor: "Male" or "Female"

study_center

Factor: Multi-center study (Center_1 to Center_8)

Source

Generated test data for ClinicoPath package

Details

Simulated with 28% prevalence. Large sample (n=500) from multi-center study tests computational efficiency and precision of estimates.

Examples

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