Identifying patients who need additional biomarkers for better prediction of health outcome or diagnosis of clinical phenotype
Year: 2007
Type: article
Abstract: Suppose that we are interested in using new biomarkers to improve prediction or diagnosis of the patient's clinical phenotype in addition to the conventional markers.The incremental value from the new markers is typically assessed by averaging across patients in the entire population of interest.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.
Authors: Lü Tian, Tianxi Cai, L. J. Wei
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1439310720