Is diagnostic meta-analysis supported?

Yes, it includes implementations for Bivariate and Hierarchical Summary ROC (HSROC) models for synthesizing diagnostic performance across multiple studies.

How does it handle optimal cutpoint selection?

It supports multiple methods including Youden's Index, maximizing sensitivity at specific specificity, and cost-benefit optimization based on false positive/negative weights.

Which R packages does this skill use?

It utilizes popular packages like pROC for ROC curves, epiR for 2x2 tables, cutpointr for threshold selection, and mada for meta-analysis.

Does it support Inter-Rater Reliability?

Absolutely, it includes code for Cohen's Kappa, Fleiss' Kappa, and Intraclass Correlation Coefficient (ICC) for both categorical and continuous data.

Can I compare multiple ROC curves?

Yes, the skill provides patterns for plotting and statistically comparing multiple ROC curves using DeLong and bootstrap methods.

R Diagnostic Accuracy Analysis

Name: R Diagnostic Accuracy Analysis
Author: choxos

bychoxos

0•

数据科学与机器学习

Performs comprehensive diagnostic test accuracy analysis in R, including ROC curves, optimal cutpoints, and meta-analysis.

This skill provides specialized guidance for biostatisticians and data scientists using R to evaluate medical diagnostic tests. It offers standardized implementation patterns for calculating basic measures like sensitivity and specificity, conducting ROC curve analysis with confidence intervals, determining optimal cutpoints using various indices, and performing complex tasks like decision curve analysis and diagnostic meta-analysis. By leveraging industry-standard packages such as pROC, cutpointr, dcurves, and mada, it ensures rigorous statistical evaluation and high-quality clinical visualization.

主要功能

01ROC curve analysis and AUC comparison using DeLong and bootstrap methods

02Inter-rater reliability measures including Cohen's Kappa, Fleiss' Kappa, and ICC

03Diagnostic meta-analysis with Bivariate and HSROC models and SROC plotting

040 GitHub stars

05Comprehensive 2x2 table metrics including Likelihood Ratios, PPV, NPV, and DOR

06Optimal cutpoint selection via Youden’s Index and cost-based optimization

使用场景

01Evaluating the performance of a new medical biomarker against a gold standard

02Comparing the diagnostic accuracy of multiple clinical prediction models

03Assessing agreement between different clinical raters or measurement methods

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add choxos/biostatagent diagnostic-accuracy

For use in Claude.ai and ChatGPT

主要功能

01ROC curve analysis and AUC comparison using DeLong and bootstrap methods

02Inter-rater reliability measures including Cohen's Kappa, Fleiss' Kappa, and ICC

03Diagnostic meta-analysis with Bivariate and HSROC models and SROC plotting

040 GitHub stars

05Comprehensive 2x2 table metrics including Likelihood Ratios, PPV, NPV, and DOR

06Optimal cutpoint selection via Youden’s Index and cost-based optimization

使用场景

01Evaluating the performance of a new medical biomarker against a gold standard

02Comparing the diagnostic accuracy of multiple clinical prediction models

03Assessing agreement between different clinical raters or measurement methods