Multireader, multicase receiver operating characteristic analysis: an empirical comparison of five methods.

[1]  Nancy A Obuchowski,et al.  A comparison of the Dorfman–Berbaum–Metz and Obuchowski–Rockette methods for receiver operating characteristic (ROC) data , 2005, Statistics in medicine.

[2]  Stephen L Hillis,et al.  Power estimation for the Dorfman-Berbaum-Metz method. , 2004, Academic radiology.

[3]  Marcus A. Maloof,et al.  A General Model for Finite-Sample Effects in Training and Testing of Competing Classifiers , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Xiao-Hua Zhou,et al.  Statistical Methods in Diagnostic Medicine , 2002 .

[5]  R F Wagner,et al.  Analysis of uncertainties in estimates of components of variance in multivariate ROC analysis. , 2001, Academic radiology.

[6]  R. F. Wagner,et al.  Components-of-variance models for random-effects ROC analysis: the case of unequal variance structures across modalities. , 2001, Academic radiology.

[7]  H. Ishwaran,et al.  A general class of hierarchical ordinal regression models with applications to correlated roc analysis , 2000 .

[8]  H. Ishwaran.  Univariate and multirater ordinal cumulative link regression with covariate specific cutpoints , 2000 .

[9]  N A Obuchowski,et al.  Sample size tables for receiver operating characteristic studies. , 2000, AJR. American journal of roentgenology.

[10]  R. F. Wagner,et al.  Components-of-variance models and multiple-bootstrap experiments: an alternative method for random-effects, receiver operating characteristic analysis. , 2000, Academic radiology.

[11]  H E Rockette,et al.  Effects of luminance and resolution on observer performance with chest radiographs. , 2000, Radiology.

[12]  Mario Cleves,et al.  Receiver Operating Characteristic (ROC) anaylsis , 2000 .

[13]  N A Obuchowski,et al.  Film-screen versus digitized mammography: assessment of clinical equivalence. , 1999, AJR. American journal of roentgenology.

[14]  K S Berbaum,et al.  Monte Carlo validation of a multireader method for receiver operating characteristic discrete rating data: factorial experimental design. , 1998, Academic radiology.

[15]  C E Metz,et al.  Variance-component modeling in the analysis of receiver operating characteristic index estimates. , 1997, Academic radiology.

[16]  C A Roe,et al.  Dorfman-Berbaum-Metz method for statistical analysis of multireader, multimodality receiver operating characteristic data: validation with computer simulation. , 1997, Academic radiology.

[17]  H. H. Song,et al.  Analysis of correlated ROC areas in diagnostic testing. , 1997, Biometrics.

[18]  A. Toledano,et al.  Ordinal regression methodology for ROC curves derived from correlated data. , 1996, Statistics in medicine.

[19]  N A Obuchowski,et al.  Multireader receiver operating characteristic studies: a comparison of study designs. , 1995, Academic radiology.

[20]  N. Obuchowski,et al.  Hypothesis testing of diagnostic accuracy for multiple readers and multiple tests: An anova approach with dependent observations , 1995 .

[21]  K. Berbaum,et al.  Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method. , 1992, Investigative radiology.

[22]  M E Baker,et al.  Answering unanswered questions: proposal for a shared resource in clinical diagnostic radiology research. , 1992, Radiology.

[23]  D. McClish.  Analyzing a Portion of the ROC Curve , 1989, Medical decision making : an international journal of the Society for Medical Decision Making.

[24]  J. Hanley.  Receiver operating characteristic (ROC) methodology: the state of the art. , 1989, Critical reviews in diagnostic imaging.

[25]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[26]  C. Metz.  ROC Methodology in Radiologic Imaging , 1986, Investigative radiology.

[27]  J. Hanley,et al.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.

[28]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[29]  D. Dorfman,et al.  Maximum-likelihood estimation of parameters of signal-detection theory and determination of confidence intervals—Rating-method data , 1969 .

[30]  D. Dorfman,et al.  Maximum likelihood estimation of parameters of signal detection theory—A direct solution , 1968, Psychometrika.