title: Comparison of adjustment methods for stratified two-sample tests in the context of ROC analysis.
abstract: We compare several nonparametric and parametric weighting methods for the adjustment of the effect of strata. In particular, we focus on the adjustment methods in the context of receiver-operating characteristic (ROC) analysis. Nonparametrically, rank-based van Elteren's test and inverse-variance (IV) weighting using the area under the ROC curve (AUC) are examined. Parametrically, the stratified t-test and IV AUC weighted method are applied based on a binormal monotone transformation model. Stratum-specific, pooled, and adjusted estimates are obtained. The pooled and adjusted AUCs are estimated. We illustrate and compare these weighting methods on a multi-center diagnostic trial and through extensive Monte-Carlo simulations.
authors.affiliation: Pfizer Inc., New York, NY 10017, USA. kelly.zou@pfizer.com
authors.forename: Kelly H
authors.initials: KH
authors.lastname: Zou
authors.forename: Martin O
authors.initials: MO
authors.lastname: Carlsson
authors.forename: Ching-Ray
authors.initials: CR
authors.lastname: Yu
mesh_terms: D019540:Area Under Curve; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D009010:Monte Carlo Method; D015337:Multicenter Studies as Topic; D011471:Prostatic Neoplasms / Q000175:diagnosis; D012372:ROC Curve; D018709:Statistics, Nonparametric