Identifying subjects who benefit from additional information for better prediction of the outcome variables.
Identifying subjects who benefit from additional information for better prediction of the outcome variables.
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DOI：
10.1111/j.1541-0420.2008.01125.x
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发表时间：
2009-09
期刊：
影响因子：
1.9
通讯作者：
Wei LJ
中科院分区：
文献类型：
--
作者：
Tian L;Cai T;Wei LJ
Suppose that we are interested in using new bio- or clinical-markers to improve prediction or diagnosis of the patient’s clinical outcome in addition to the conventional markers. The incremental value from the new markers is typically assessed by averaging across patients in the entire study population. However, when measuring the new markers is costly or invasive, an overall improvement does not justify measuring the new markers in all patients. A more practical strategy is to utilize the patient’s conventional markers to decide whether the new markers are needed for improving prediction of his/her health outcomes. In this article, we propose inference procedures for the incremental values of new markers across various subgroups of patients classified by the conventional markers. The resulting point and interval estimates can be quite useful for medical decision makers seeking to balance the predictive or diagnostic value of new markers against their associated cost and risk. Our proposals are theoretically justified and illustrated empirically with two real examples.
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影响因子：
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Pepe, MS;Janes, H;Newcomb, P
通讯作者：
Newcomb, P
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通讯作者：
SPIEGELHALTER, DJ
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