Please use this identifier to cite or link to this item: https://doi.org/10.1002/cjs.11205
Title: Assessing diagnostic accuracy improvement for survival or competing-risk censored outcomes
Authors: Shi, H.
Cheng, Y.
Li, J. 
Keywords: Area under the receiver operating characteristic curve
Bivariate cumulative incidence function
Competing-risk censoring
Integrated discrimination improvement
Net reclassification improvement
Issue Date: Mar-2014
Citation: Shi, H., Cheng, Y., Li, J. (2014-03). Assessing diagnostic accuracy improvement for survival or competing-risk censored outcomes. Canadian Journal of Statistics 42 (1) : 109-125. ScholarBank@NUS Repository. https://doi.org/10.1002/cjs.11205
Abstract: Diagnostic accuracy studies have progressed in the past decade to consider survival outcomes beyond the traditional dichotomous outcome. Another recent advance is the appearance of novel measures for diagnostic accuracy improvement by adding new markers. In this paper we attempt to integrate these two evolving areas and contribute a discussion on assessing diagnostic accuracy improvement for censored survival outcomes. More importantly, we consider competing-risk censoring in addition to independent censoring, and provide inferential procedures. Particularly, we consider fitting regression models based on cumulative incidence functions for the primary event, and propose parallel estimators for the adapted accuracy improvement measures based on inverse probability weighting and bivariate cumulative incidence function estimation. Both estimators perform very well in simulations and in an application to a breast cancer study. © 2014 Statistical Society of Canada.
Source Title: Canadian Journal of Statistics
URI: http://scholarbank.nus.edu.sg/handle/10635/105010
ISSN: 03195724
DOI: 10.1002/cjs.11205
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