Objectives:
The workshop will provide an introduction to regression methods for summary ROC analysis, using both fixed effect and random effects (hierarchical) models. At the end of the workshop, participants will be aware of the alternative models, their application and interpretation.
Description:
Emphasis will be on the meta-analysis of studies reporting estimates of test sensitivity and specificity. The focus will be on summary ROC methods that account for differences in positivity threshold between studies. The potential advantages of using hierarchical models will be outlined.
The use of these models for investigating sources of heterogeneity through the inclusion of study level covariates, as an alternative to subgroup analysis, will be described and discussed. The application of this approach to comparing the performance of tests will also be discussed. Examples, drawn from imaging and laboratory test evaluations, will be used to illustrate and compare alternative (fixed and random effects) models and their interpretation. Sample programs will be provided for fitting hierarchical models.