dca_test_data | R Documentation |
A larger and more comprehensive dataset for Decision Curve Analysis, including patient demographics, clinical risk factors, multiple risk model predictions, and outcome variables in both numeric and character formats.
data(dca_test_data)
A data frame with 800 rows and 19 variables:
Integer. Unique patient identifier.
Integer. Patient's age in years.
Character. Patient's sex.
Character. Diabetes status.
Character. Hypertension status.
Character. Smoking status.
Integer. Cholesterol level.
Numeric. Troponin level.
Numeric. Serum creatinine level.
Integer. Numeric indicator of cardiac event (e.g., 0 or 1).
Character. Character indicator of cardiac event (e.g., "Yes", "No").
Numeric. A simulated true underlying risk score for the patient.
Numeric. Predicted probability from a basic risk model.
Numeric. Predicted probability from an enhanced risk model.
Numeric. Predicted probability from a model incorporating a biomarker.
Numeric. Predicted probability from a model designed to be miscalibrated.
Numeric. Predicted probability from a model with poor discrimination.
Character. Categorized risk level based on some criteria.
Character. Hospital or center identifier.
data(dca_test_data)
str(dca_test_data)
head(dca_test_data)
summary(dca_test_data$enhanced_model)
table(dca_test_data$hospital, dca_test_data$cardiac_event)
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