Proper receiver operating characteristic analysis: the bigamma model.

[1]  L P Clarke,et al.  Interpretation of calcifications in screen/film, digitized, and wavelet-enhanced monitor-displayed mammograms: a receiver operating characteristic study. , 1996, Academic radiology.

[2]  K. Berbaum,et al.  Multi-reader multi-case ROC methodology: A bootstrap analysis , 1995 .

[3]  K S Berbaum,et al.  Degeneracy and discrete receiver operating characteristic rating data. , 1995, Academic radiology.

[4]  K S Berbaum,et al.  Multireader, multicase receiver operating characteristic methodology: a bootstrap analysis. , 1995, Academic radiology.

[5]  H E Rockette,et al.  On the generalization of the receiver operating characteristic analysis to the population of readers and cases with the jackknife method: an assessment. , 1995, Academic radiology.

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

[7]  S C Kao,et al.  Evaluation of a digital workstation for interpreting neonatal examinations. A receiver operating characteristic study. , 1992, Investigative radiology.

[8]  P. McCullagh,et al.  Generalized Linear Models, 2nd Edn. , 1990 .

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

[10]  C B Begg,et al.  A General Regression Methodology for ROC Curve Estimation , 1988, Medical decision making : an international journal of the Society for Medical Decision Making.

[11]  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.

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

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

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

[15]  G. Reinsel,et al.  Introduction to Mathematical Statistics (4th ed.). , 1980 .

[16]  T. Brubaker,et al.  Nonlinear Parameter Estimation , 1979 .

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

[18]  W. R. Buckland,et al.  Distributions in Statistics: Continuous Multivariate Distributions , 1973 .

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

[20]  J. Neyman,et al.  Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume V, Weather Modification. , 1969 .

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

[22]  M. R. Osborne,et al.  Methods for unconstrained optimization problems , 1968 .

[23]  J. Neyman,et al.  Some outstanding problems relating to rain modification , 1967 .

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

[25]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[26]  J SWETS,et al.  Decision processes in perception. , 1961, Psychological review.

[27]  Robert Hooke,et al.  `` Direct Search'' Solution of Numerical and Statistical Problems , 1961, JACM.

[28]  F. Downton,et al.  Introduction to Mathematical Statistics , 1959 .