Zobrazeno 1 - 10
of 223
pro vyhledávání: '"covariate-adjusted ROC"'
In this paper, we present three estimators of the ROC curve when missing observations arise among the biomarkers. Two of the procedures assume that we have covariates that allow to estimate the propensity and the estimators are obtained using an inve
Externí odkaz:
http://arxiv.org/abs/2201.06483
Accurate diagnosis of disease is of fundamental importance in clinical practice and medical research. Before a medical diagnostic test is routinely used in practice, its ability to distinguish between diseased and nondiseased states must be rigorousl
Externí odkaz:
http://arxiv.org/abs/1806.00473
Akademický článek
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Akademický článek
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Publikováno v:
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 2012 Sep 01. 40(3), 569-587.
Externí odkaz:
https://www.jstor.org/stable/41724545
Publikováno v:
Sakarya Tıp Dergisi, Vol 5, Iss 3, Pp 140-149 (2015)
Objective: Aim of this study is to analyze the change of the area under the adjusted ROC (AdjROC) curve in certain conditions via binormal distribution model using simulation studies and application of this algorithm to real data. Materials and Metho
Externí odkaz:
https://doaj.org/article/16c839a1179746feb2cf3d7f20cb4f1c
Publikováno v:
Statistical Science. 37
Autor:
J.D. Tubbs, Xing Meng
Publikováno v:
Current Research in Biostatistics. 10:20-24
The Receiver Operating Characteristic (ROC) curve and the area under the ROC (AUC) are widely used in determining the diagnostic capability of a binary classification procedure. Since the test performance is affected by covariates, the ROC and AUC ha
Autor:
Ertugrul Colak, Cengiz Bal, Ilker Etikan, Kazım Özdamar, Hasan Çetin Ekerbiçer, Unal Erkorkmaz
Publikováno v:
Volume: 5, Issue: 3 140-149
Sakarya Tıp Dergisi
Sakarya Tıp Dergisi
Objective: Aim of this study is to analyze the change of the area under the adjusted ROC (AdjROC) curve in certain conditions via binormal distribution model using simulation studies and application of this algorithm to real data. Materials and Metho
Autor:
Sarah Stanley, Jack D. Tubbs
Publikováno v:
Science Journal of Applied Mathematics and Statistics. 6:110
Background: Several regression methodologies have been developed to model the ROC as a function of covariate effects within the generalized linear model (GLM) framework. In this article, we present an alternative to two existing parametric and semi-p