Estimation Methods For Time-Dependent AUC Models With Survival Data
Resource
The Canadian Journal of Statistics, 38(1), 8-26
Journal
Canadian Journal of Statistics
Pages
n/a
Date Issued
2010
Date
2010
Author(s)
Hung, Hung
Abstract
The performance of clinical tests for disease screening is often evaluated using the area under the receiver-operating characteristic (ROC) curve (AUC). Recent developments have extended the traditional setting to the AUC with binary time-varying failure status. Without considering covariates, our first theme is to propose a simple and easily computed nonparametric estimator for the time-dependent AUC. Moreover, we use generalized linear models with time-varying coefficients to characterize the time-dependent AUC as a function of covariate values. The corresponding estimation procedures are proposed to estimate the parameter functions of interest. The derived limiting Gaussian processes and the estimated asymptotic variances enable us to construct the approximated confidence regions for the AUCs. The finite sample properties of our proposed estimators and inference procedures are examined through extensive simulations. An analysis of the AIDS Clinical Trials Group (ACTG) 175 data is further presented to show the applicability of the proposed methods. ? 2010 Statistical Society of Canada.
SDGs
Type
journal article
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