ROC curves and the test

نویسنده

  • Andrew P Bradley
چکیده

In this paper we review the Receiver Operating Characteristic ROC curve and the test statistic in relation to the analysis of a confusion matrix We then show how these two methods are related and propose an extension to the ROC curve so that it shows contours of values These contours can be used to provide further insight into the appropriate setting of the decision threshold for a particular application

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

ROC curves and nonrandom data ∗ Jonathan Aaron

This paper shows that when a classifier is evaluated with nonrandom test data, ROC curves differ from the ROC curves that would be obtained with a random sample. To address this bias, this paper introduces a procedure for plotting ROC curves that are inferred from nonrandom test data. I provide simulations and an example with wine data to illustrate the procedure as well as the magnitude of bia...

متن کامل

Comparison between sodium hypochlorite and copper sulfate reducer in lightening of overexposed working length radiographs

Objectives: The aims of this study were to test whether lightening of the overexposed radiographs improve determination of endodontic files length and whether lightened radiographs are comparable with ideally exposed radiographs. Material and Methods: Four dried human skull coated with soft tissue-equivalent wax used for exposing radiographs of the upper molars. First, the endodontic file was p...

متن کامل

ROC curve equivalence using the Kolmogorov-Smirnov test

This paper describes a simple, non-parametric and generic test of the equivalence of Receiver Operating Characteristic (ROC) curves based on a modified Kolmogorov-Smirnov (KS) test. The test is described in relation to the commonly used techniques such as the Area Under the ROC curve (AUC) and the Neyman-Pearson method. We first review how the KS test is used to test the null hypotheses that th...

متن کامل

Estimation and Comparison of Receiver Operating Characteristic Curves.

The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a comprehensive suite of Stata commands for performing ROC analysis. Non-parametric, semiparametric and parametric estimators are calculated. Comparisons between curves are based on the area or partial area under...

متن کامل

Asymptotic Properties of the Sequential Empirical ROC, PPV and NPV Curves Under Case-Control Sampling.

The receiver operating characteristic (ROC) curve, the positive predictive value (PPV) curve and the negative predictive value (NPV) curve are three measures of performance for a continuous diagnostic biomarker. The ROC, PPV and NPV curves are often estimated empirically to avoid assumptions about the distributional form of the biomarkers. Recently, there has been a push to incorporate group se...

متن کامل

Comparison of correlated receiver operating characteristic curves derived from repeated diagnostic test data.

RATIONAL AND OBJECTIVES It is common to administer the same diagnostic test more than once to the same set of patients. The purpose of this study was to develop two statistical methods for estimating and comparing correlated receiver operating characteristic (ROC) curves for data derived from repeated diagnostic tests. MATERIAL AND METHODS Parametric and semiparametric transformation models w...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005