On the convexity of ROC curves estimated from radiological test results.

[1]  R. Pfeiffer,et al.  Shifting breast cancer trends in the United States. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  Lorenzo L. Pesce,et al.  Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves. , 2007, Academic radiology.

[3]  R. F. Wagner,et al.  Assessment of medical imaging systems and computer aids: a tutorial review. , 2007, Academic radiology.

[4]  D. Vanel.  The American College of Radiology (ACR) Breast Imaging and Reporting Data System (BI-RADS): a step towards a universal radiological language? , 2007, European journal of radiology.

[5]  C. D'Orsi,et al.  Diagnostic Performance of Digital Versus Film Mammography for Breast-Cancer Screening , 2005, The New England journal of medicine.

[6]  M. Pepe.  The Statistical Evaluation of Medical Tests for Classification and Prediction , 2003 .

[7]  Chris Lloyd,et al.  Estimation of a convex ROC curve , 2002 .

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

[9]  L. Liberman,et al.  Breast imaging reporting and data system (BI-RADS). , 2002, Radiologic clinics of North America.

[10]  D Gur,et al.  A constrained formulation for the receiver operating characteristic (ROC) curve based on probability summation. , 2001, Medical physics.

[11]  Kevin S. Berbaum,et al.  A contaminated binormal model for ROC data , 2000 .

[12]  K S Berbaum,et al.  A contaminated binormal model for ROC data: Part II. A formal model. , 2000, Academic radiology.

[13]  R. F. Wagner,et al.  The problem of ROC analysis without truth: the EM algorithm and the information matrix , 2000, Medical Imaging.

[14]  C. Metz,et al.  "Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation. , 1999, Journal of mathematical psychology.

[15]  C. Metz,et al.  Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data. , 1998, Statistics in medicine.

[16]  C A Roe,et al.  Statistical Comparison of Two ROC-curve Estimates Obtained from Partially-paired Datasets , 1998, Medical decision making : an international journal of the Society for Medical Decision Making.

[17]  K. Berbaum,et al.  Proper receiver operating characteristic analysis: the bigamma model. , 1997, Academic radiology.

[18]  Dennis G. Fryback,et al.  The Efficacy of Diagnostic Imaging , 1991, Medical decision making : an international journal of the Society for Medical Decision Making.

[19]  M. Bronskill,et al.  Receiver Operator characteristic (ROC) Analysis without Truth , 1990, Medical decision making : an international journal of the Society for Medical Decision Making.

[20]  C E Metz,et al.  Some practical issues of experimental design and data analysis in radiological ROC studies. , 1989, Investigative radiology.

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

[22]  J. Hanley.  The Robustness of the "Binormal" Assumptions Used in Fitting ROC Curves , 1988, Medical decision making : an international journal of the Society for Medical Decision Making.

[23]  M. Kendall,et al.  Kendall's advanced theory of statistics , 1995 .

[24]  J A Swets,et al.  Form of empirical ROCs in discrimination and diagnostic tasks: implications for theory and measurement of performance. , 1986, Psychological bulletin.

[25]  J. Swets.  Indices of discrimination or diagnostic accuracy: their ROCs and implied models. , 1986, Psychological bulletin.

[26]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[27]  C. Metz,et al.  A New Approach for Testing the Significance of Differences Between ROC Curves Measured from Correlated Data , 1984 .

[28]  Kenneth H. Rosen.  Discrete mathematics and its applications , 1984 .

[29]  John A. Swets,et al.  Evaluation of diagnostic systems : methods from signal detection theory , 1982 .

[30]  C. Metz,et al.  Statistical significance tests for binormal ROC curves , 1980 .

[31]  J. Swets,et al.  Assessment of diagnostic technologies. , 1979, Science.

[32]  James P. Egan,et al.  Signal detection theory and ROC analysis , 1975 .

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

[34]  J. C. Ogilvie,et al.  Maximum-likelihood estimation of receiver operating characteristic curve parameters , 1968 .

[35]  T. Birdsall.  The Theory of Signal Detectability: ROC Curves and Their Character , 1966 .

[36]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .