decision-curve-analysis
Here are 8 public repositories matching this topic...
Python package for Andrew Vickers' Decision Curve Analysis method to evaluate prediction models and diagnostic tests
-
Updated
Oct 24, 2025 - Python
Reproduce the results from the paper: "Decision Curve Analysis for Personalized Treatment Choice between Multiple Options. K. Chalkou, et. al. Med Decis Making . 2023 Apr;43(3):337-349. doi: 10.1177/0272989X221143058." This methodological paper describes the methods for evaluating the clinical utility of prediction model with multiple treatments.
-
Updated
Jul 21, 2023 - R
-
Updated
Apr 14, 2024 - HTML
Predicting diabetes risk from BRFSS health indicators with interpretable ML, threshold optimization, and bias/subgroup analysis.
-
Updated
Oct 17, 2025 - Jupyter Notebook
Clinical threshold evaluation for oncology AI models
-
Updated
Jul 6, 2026 - Python
R pipeline for a prospective cohort study of baseline BMI category and incident treated hypertension in Australian men (Ten to Men linked with PBS/MBS; n=12,742, 11-year follow-up). Cox models, multiple imputation, bootstrap C-index, decision curve analysis, E-values, competing-risks sensitivity. Manuscript under revision (Chron Dis Transl Med).
-
Updated
May 31, 2026 - R
MCMC Bayesian logistic regression with prior sensitivity analysis for thyroid cancer recurrence prediction
-
Updated
Aug 5, 2026 - Jupyter Notebook
Improve this page
Add a description, image, and links to the decision-curve-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the decision-curve-analysis topic, visit your repo's landing page and select "manage topics."