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nogoldstandard Low Agreement Data

Source: R/data_nogoldstandard_docs.R
nogoldstandard_lowagreement.Rd

Dataset with 140 patients where two tests show low agreement. Tests have moderate and different diagnostic characteristics (Sens: 0.70, 0.65; Spec: 0.80, 0.75).

Usage

nogoldstandard_lowagreement

Format

A data frame with 140 rows and 3 variables:

patient_id

Character: Patient identifier (PT001-PT140)

Test1

Factor: First test ("Negative", "Positive"), Sens=0.70, Spec=0.80

Test2

Factor: Second test ("Negative", "Positive"), Sens=0.65, Spec=0.75

age

Numeric: Patient age in years (mean 58, SD 14)

Source

Generated test data for ClinicoPath package

Details

Simulated with 30% prevalence. Tests have low correlation, representing tests measuring different aspects of disease.

Examples

data(nogoldstandard_lowagreement)
nogoldstandard(data = nogoldstandard_lowagreement,
               test1 = "Test1", test1Positive = "Positive",
               test2 = "Test2", test2Positive = "Positive",
               test3Positive = "", test4Positive = "",
               test5Positive = "")
#> Error: Latent Class Analysis requires at least 3 tests to be statistically identifiable. Please add more tests or select a different method (e.g., Composite Reference).