dca_test_data: Comprehensive Decision Curve Analysis (DCA) Data

In sbalci/ClinicoPathJamoviModule: Analysis for Clinicopathological Research

Comprehensive Decision Curve Analysis (DCA) Data

Description

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.

Usage

data(dca_test_data)

Format

A data frame with 800 rows and 19 variables:

patient_id

Integer. Unique patient identifier.

age

Integer. Patient's age in years.

sex

Character. Patient's sex.

diabetes

Character. Diabetes status.

hypertension

Character. Hypertension status.

smoking

Character. Smoking status.

cholesterol

Integer. Cholesterol level.

troponin

Numeric. Troponin level.

creatinine

Numeric. Serum creatinine level.

cardiac_event_numeric

Integer. Numeric indicator of cardiac event (e.g., 0 or 1).

cardiac_event

Character. Character indicator of cardiac event (e.g., "Yes", "No").

true_risk

Numeric. A simulated true underlying risk score for the patient.

basic_model

Numeric. Predicted probability from a basic risk model.

enhanced_model

Numeric. Predicted probability from an enhanced risk model.

biomarker_model

Numeric. Predicted probability from a model incorporating a biomarker.

miscalibrated_model

Numeric. Predicted probability from a model designed to be miscalibrated.

poor_model

Numeric. Predicted probability from a model with poor discrimination.

risk_category

Character. Categorized risk level based on some criteria.

hospital

Character. Hospital or center identifier.

Examples

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)

sbalci/ClinicoPathJamoviModule documentation built on June 13, 2025, 9:34 a.m.