Covariate adjustment, factorial designs and clustered data in diagnostic accuracy studies

Introduction: The accuracy of diagnostic tests is commonly evaluated by estimating the area under the receiver operating characteristic curve (AUC), as well as sensitivity and specificity at given diagnostic cut-offs. Challenges: However, many diagnostic trials use factorial designs. For example, [for full text, please go to the a.m. URL]