MADA: Meta-Analysis of Diagnostic Accuracy with Bivariate and HSROC Models

Philipp Doebler provides functions for diagnostic meta-analysis. The package includes basic analysis, visualization, and can fit the bivariate model of Reitsma et al. (2005) and the HSROC model of Rutter & Gatsonis (2001). A newer approach based on the work of Holling et al. (2012) is also available alongside standard methods like summary and plot.

Use Cases

• Perform diagnostic meta-analysis based on the bivariate model described in the description
• Fit the HSROC model for diagnostic accuracy studies as mentioned in the description
• Apply the newer diagnostic meta-analysis approach based on Holling et al. (2012)
• Generate standard visualizations and summaries for diagnostic meta-analysis results

Strengths

• Implements established statistical models for diagnostic meta-analysis, including the bivariate model of Reitsma et al. (2005)
• Provides a newer methodological approach based on Holling et al. (2012)
• Includes standard analysis and visualization functions

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

Philipp Doebler

Collection Method

Provides functions for analysis; likely a software package for statistical computation.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is unknown.