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dtametaTMB

Diagnostic Test Accuracy Meta-Analysis using Template Model Builder

dtametaTMB provides a unified framework for frequentist meta-analysis of diagnostic test accuracy (DTA) studies in R. It implements several widely used models within a consistent interface, including:

• the Reitsma bivariate random-effects model
  
• the Rutter and Gatsonis (HSROC) model
  
• the Hoyer threshold-based bivariate time-to-event model

The package uses Template Model Builder (TMB) for efficient likelihood-based estimation of complex hierarchical models.

Key Features

• Frequentist estimation using exact binomial likelihoods
• Reitsma bivariate random-effects model
• Rutter and Gatsonis (HSROC) model
• Hoyer multiple-threshold model
• Subgroup analyses and meta-regression
• Likelihood-ratio tests for nested model comparisons
• Support for parameter constraints in sparse-data settings
• Summary ROC (SROC/HSROC) plots
• Coupled forest plots
• Unified interface across DTA meta-analysis models
• Validation against examples from the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.