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Abstract Details

Activity Number: 256
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #308556
Title: Semiparametric AUC Model with Placement Values
Author(s): Lin Zhang*+ and Jack Tubbs
Companies: Quintiles and Baylor University
Address: , , 66213,
Keywords: semi-parametric ; AUC ; ROC curve

In this paper, we present a semi-parametric procedure for the analysis of the Area Under the ROC Curve (AUC) using placement values of the treated population with respect to the placebo population. Since these placement scores are quantiles from the placebo population, we will use beta regression to estimate the AUC. This approach will allow for both discrete and continuous covariates. When the covariates are discrete, the model effectively reduces to the binary regression model for AUC given by Dodd and Pepe (2003). When the covariates are continuous, the results are easily interpreted as they are similar to results given in standard generalized linear models software. Simulation result will be provided.

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