Optimal Composite Markers for Time-Dependent Receiver Operating Characteristic Curves with Censored Survival Data
To increase the predictive abilities of several plasma biomarkers on the coronary artery disease (CAD)-related vital statuses over time, our research interest mainly focuses on seeking combinations of these biomarkers with the highest time-dependent receiver operating characteristic curves. An extended generalized linear model (EGLM) with time-varying coefficients and an unknown bivariate link function is used to characterize the conditional distribution of time to CAD-related death. Based on censored survival data, two non-parametric procedures are proposed to estimate the optimal composite markers, linear predictors in the EGLM model. Estimation methods for the classification accuracies of the optimal composite markers are also proposed. In the article we establish theoretical results of the estimators and examine the corresponding finite-sample properties through a series of simulations with different sample sizes, censoring rates and censoring mechanisms. Our optimization procedures and estimators are further shown to be useful through an application to a prospective cohort study of patients undergoing angiography. Copyright (c) 2010 Board of the Foundation of the Scandinavian Journal of Statistics.
Year of publication: |
2010
|
---|---|
Authors: | HUNG, HUNG ; CHIANG, CHIN-TSANG |
Published in: |
Scandinavian Journal of Statistics. - Danish Society for Theoretical Statistics, ISSN 0303-6898. - Vol. 37.2010, 4, p. 664-679
|
Publisher: |
Danish Society for Theoretical Statistics Finnish Statistical Society Norwegian Statistical Association Swedish Statistical Association |
Saved in:
freely available
Saved in favorites
Similar items by person
-
A two-stage dimension-reduction method for transformed responses and its applications
Hung, Hung, (2012)
-
On multilinear principal component analysis of order-two tensors
Hung, Hung, (2012)
-
Foot-and-mouth disease entrance assessment model through air passenger violations
Lin, Xiao-wei, (2009)
- More ...