ROC curve estimation under test-result-dependent sampling
نویسندگان
چکیده
منابع مشابه
ROC curve estimation under test-result-dependent sampling.
The receiver operating characteristic (ROC) curve is often used to evaluate the performance of a biomarker measured on continuous scale to predict the disease status or a clinical condition. Motivated by the need for novel study designs with better estimation efficiency and reduced study cost, we consider a biased sampling scheme that consists of a SRC and a supplemental TDC. Using this approac...
متن کاملBayesian ROC curve estimation under verification bias.
Receiver operating characteristic (ROC) curve has been widely used in medical science for its ability to measure the accuracy of diagnostic tests under the gold standard. However, in a complicated medical practice, a gold standard test can be invasive, expensive, and its result may not always be available for all the subjects under study. Thus, a gold standard test is implemented only when it i...
متن کاملNonparametric Estimation of AUC and Partial AUC under Test-Result-Dependent Sampling
The area under a ROC curve (AUC) and partial area under a ROC curve (pAUC) are important summary measures useful in assessing the accuracy of a diagnostic test or a biomarker in discriminating true disease status. We consider nonparametric estimation of AUC and pAUC under a test-result-dependent sampling (TDS) design, which consists of a simple random component and a test-result-dependent compo...
متن کاملBayesian ROC curve estimation under binormality using a rank likelihood
There are various methods to estimate the parameters in the binormal model for the ROC curve. In this paper, we propose a conceptually simple and computationally feasible Bayesian estimation method using a rank-based likelihood. Posterior consistency is also established. We compare the new method with other estimation methods and conclude that our estimator generally performs better than its co...
متن کاملRisk Estimation by Maximizing the Area under ROC Curve
Risks exist in many different domains; medical diagnoses, financial markets, fraud detection and insurance policies are some examples. Various risk measures and risk estimation systems have hitherto been proposed and this paper suggests a new risk estimation method. Risk estimation by maximizing the area under a receiver operating characteristics (ROC) curve (REMARC) defines risk estimation as ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biostatistics
سال: 2012
ISSN: 1465-4644,1468-4357
DOI: 10.1093/biostatistics/kxs020