| 1 | BATE curve in assessment of clinical utility of predictive biomarkers显示文摘In this paper,for time-to-event data,we propose a new statistical framework for casual inference in evaluating clinical utility of predictive biomarkers and in selecting an optimal treatment for a particular patient.This new casual framework is based on a new concept,called Biomarker Adjusted Treatment Effect (BATE) curve.The BATE curve can be used for assessing clinical utility of a predictive biomarker,for designing a subsequent confirmation trial,and for guiding clinical practice.We then propose semi-parametric methods for estimating the BATE curves of biomarkers and establish asymptotic results of the proposed estimators for the BATE curves.We also conduct extensive simulation studies to evaluate finite-sample properties of the proposed estimation methods.Finally,we illustrate the application of the proposed method in a real-world data set. | ZHOU XiaoHua 1,2,3,& MA YunBei 4,5 1 Northwest HSR&D Center of Excellence,VA Puget Sound Health Care System,Seattle,WA 98198,USA 2 Department of Biostatistics,University of Washington,Seattle,WA 98198,USA 3 Beijing International Center for Mathematical Research,Peking University,Beijing 100871,China 4 Department of Operations Research and Financial Engineering,Princeton University,Princeton,NJ 08540,USA 5 School of Statisitcs,Southwest University of Finance and Economics,Chengdu 611130,China | 2012 | Science China Mathematics2012，55，8： | 2 |
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