dca_test: Decision Curve Analysis (DCA) Test Data

In sbalci/ClinicoPathJamoviModule: Analysis for Clinicopathological Research

Decision Curve Analysis (DCA) Test Data

Description

A dataset designed for performing Decision Curve Analysis (DCA). It includes patient characteristics, an outcome variable (cardiac_event), and predicted probabilities from several different risk models.

Usage

data(dca_test)

Format

A data frame with 50 rows and 17 variables:

patient_id

Integer. Unique patient identifier.

age

Integer. Patient's age in years.

sex

Character. Patient's sex.

diabetes

Character. Diabetes status (e.g., "Yes", "No").

hypertension

Character. Hypertension status (e.g., "Yes", "No").

smoking

Character. Smoking status (e.g., "Yes", "No").

cholesterol

Integer. Cholesterol level.

troponin

Numeric. Troponin level.

creatinine

Numeric. Creatinine level.

cardiac_event

Character. The outcome variable, indicating if a cardiac event occurred.

basic_model

Numeric. Predicted probability of a cardiac event from a basic model.

enhanced_model

Numeric. Predicted probability from an enhanced model.

biomarker_model

Numeric. Predicted probability from a model including a biomarker.

miscalibrated_model

Numeric. Predicted probability from a deliberately miscalibrated model.

poor_model

Numeric. Predicted probability from a poorly performing model.

risk_category

Character. A categorized risk based on some criteria.

hospital

Character. Hospital identifier or group.

Examples

data(dca_test)
str(dca_test)
head(dca_test)
summary(dca_test$basic_model)
table(dca_test$cardiac_event)

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