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