diagnostic-meta-analysis

Perform meta-analysis of diagnostic accuracy studies using mada and metafor models.

1|Updated Dec 29, 2025

Search Tags:#meta-analysis #diagnostic #dta #sroc #bivariate #hsroc #quadas-2

Ready to run

npx skills add https://github.com/matheus-rech/meta-agent-mobile --skill diagnostic-meta-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: diagnostic-meta-analysis
Source: https://github.com/matheus-rech/meta-agent-mobile/tree/main/agentskills/diagnostic-meta-analysis
Command: npx skills add https://github.com/matheus-rech/meta-agent-mobile --skill diagnostic-meta-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Diagnostic meta-analysis is needed to synthesize sensitivity and specificity across studies while accounting for threshold effects and study quality, enabling robust conclusions in diagnostic test evaluation.

Core Features & Use Cases

Bivariate and HSROC modeling approaches to combine diagnostic accuracy data.
QUADAS-2 guided quality assessment and bias exploration.
Practical guidance for preparing 2x2 data (TP, FP, FN, TN) and reporting results, plots, and interpretations.

Quick Start

Provide a clean 2x2 dataset (TP, FP, FN, TN) and I will run a diagnostic accuracy meta-analysis with SROC visualization.

Frequently Asked Questions about diagnostic-meta-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I perform a diagnostic test accuracy meta-analysis with 2x2 data?▼

To perform a diagnostic test accuracy meta-analysis, provide a clean 2x2 dataset of TP, FP, FN, and TN values. The analysis aggregates sensitivity and specificity across studies, accounts for threshold effects, and visualizes the combined results using SROC plots.

What is the difference between bivariate and HSROC models in diagnostic meta-analysis?▼

Bivariate and HSROC models are two approaches to combine diagnostic accuracy data. The bivariate model focuses on pooling sensitivity and specificity jointly, while the HSROC model explicitly models threshold effects to produce summary receiver operating characteristic curves.

How do I incorporate QUADAS-2 quality assessments into a diagnostic accuracy meta-analysis?▼

You incorporate QUADAS-2 quality assessments by using them to guide bias exploration and quality assessment in your diagnostic test accuracy review. This ensures that variations in study design and risk of bias are accounted for when synthesizing sensitivity and specificity.

Can I use mada and metafor for SROC visualization in diagnostic meta-analysis?▼

Yes, you can use mada and metafor for SROC visualization and modeling in diagnostic meta-analysis. These packages support both bivariate and HSROC modeling approaches to generate summary receiver operating characteristic outputs from 2x2 diagnostic data.

When do I need to use diagnostic test accuracy meta-analysis instead of standard meta-analysis?▼

You need diagnostic test accuracy meta-analysis when aggregating paired accuracy metrics like sensitivity and specificity across studies, because standard meta-analysis cannot handle the correlated nature of these outcomes or model threshold effects via SROC curves.