12 Evaluating diagnostic tests in public health

[1]  Eric R. Ziegel,et al.  Generalized Linear Models , 2002, Technometrics.

[2]  P. Simpson,et al.  Statistical methods in cancer research , 2001, Journal of surgical oncology.

[3]  M. Pepe,et al.  Comparisons of Predictive Values of Binary Medical Diagnostic Tests for Paired Designs , 2000, Biometrics.

[4]  M. Pepe.  An Interpretation for the ROC Curve and Inference Using GLM Procedures , 2000, Biometrics.

[5]  M. Pepe,et al.  Regression modelling of diagnostic likelihood ratios for the evaluation of medical diagnostic tests. , 1998, Biometrics.

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

[7]  M S Pepe,et al.  Three approaches to regression analysis of receiver operating characteristic curves for continuous test results. , 1998, Biometrics.

[8]  M S Pepe,et al.  Design of a study to improve accuracy in reading mammograms. , 1997, Journal of clinical epidemiology.

[9]  I Yang,et al.  Latent variable modeling of diagnostic accuracy. , 1997, Biometrics.

[10]  Margaret S. Pepe,et al.  A regression modelling framework for receiver operating characteristic curves in medical diagnostic testing , 1997 .

[11]  W Leisenring,et al.  A marginal regression modelling framework for evaluating medical diagnostic tests. , 1997, Statistics in medicine.

[12]  L. Joseph,et al.  Inferences for Likelihood Ratios in the Absence of a "Gold Standard" , 1996, Medical decision making : an international journal of the Society for Medical Decision Making.

[13]  K. Kerlikowske,et al.  Likelihood ratios for modern screening mammography. Risk of breast cancer based on age and mammographic interpretation. , 1996, JAMA.

[14]  A Muñoz,et al.  Bayesian imputation of predictive values when covariate information is available and gold standard diagnosis is unavailable. , 1996, Statistics in medicine.

[15]  X H Zhou,et al.  A nonparametric maximum likelihood estimator for the receiver operating characteristic curve area in the presence of verification bias. , 1996, Biometrics.

[16]  B. Turnbull,et al.  NONPARAMETRIC AND SEMIPARAMETRIC ESTIMATION OF THE RECEIVER OPERATING CHARACTERISTIC CURVE , 1996 .

[17]  Margaret S. Pepe,et al.  A mean score method for missing and auxiliary covariate data in regression models , 1995 .

[18]  N A Obuchowski,et al.  Multireader, multimodality receiver operating characteristic curve studies: hypothesis testing and sample size estimation using an analysis of variance approach with dependent observations. , 1995, Academic radiology.

[19]  L. Joseph,et al.  Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard. , 1995, American journal of epidemiology.

[20]  J. Robins,et al.  Estimation of Regression Coefficients When Some Regressors are not Always Observed , 1994 .

[21]  G. Campbell,et al.  Advances in statistical methodology for the evaluation of diagnostic and laboratory tests. , 1994, Statistics in medicine.

[22]  J. Hermans,et al.  The Evaluation and Interpretation of Cervical Cytology: Application of the Likelihood Ratio Concept , 1993, Cytopathology : official journal of the British Society for Clinical Cytology.

[23]  S Greenland,et al.  Analytic methods for two-stage case-control studies and other stratified designs. , 1991, Statistics in medicine.

[24]  N. Jewell,et al.  Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data , 1990 .

[25]  W Zucchini,et al.  On the statistical analysis of ROC curves. , 1989, Statistics in medicine.

[26]  Mitchell H. Gail,et al.  A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data , 1989 .

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

[28]  D. Rubin.  Multiple imputation for nonresponse in surveys , 1989 .

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

[30]  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.

[31]  B. McNeil,et al.  Assessment of radiologic tests: control of bias and other design considerations. , 1988, Radiology.

[32]  Norman E. Breslow,et al.  Logistic regression for two-stage case-control data , 1988 .

[33]  C B Begg,et al.  Biases in the assessment of diagnostic tests. , 1987, Statistics in medicine.

[34]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[35]  R A Greenes,et al.  Construction of Receiver Operating Characteristic Curves when Disease Verification Is Subject to Selection Bias , 1984, Medical decision making : an international journal of the Society for Medical Decision Making.

[36]  R A Greenes,et al.  Assessment of diagnostic tests when disease verification is subject to selection bias. , 1983, Biometrics.

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

[38]  S. Walter,et al.  Estimating the error rates of diagnostic tests. , 1980, Biometrics.

[39]  D. Bamber.  The area above the ordinal dominance graph and the area below the receiver operating characteristic graph , 1975 .

[40]  P. Billingsley,et al.  Convergence of Probability Measures , 1970, The Mathematical Gazette.

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

[42]  David J. Spiegelhalter,et al.  Analysis of longitudinal binary data from multiphase sampling , 1998 .

[43]  D. Ruppert,et al.  Measurement Error in Nonlinear Models , 1995 .

[44]  L P Zhao,et al.  Designs and analysis of two-stage studies. , 1992, Statistics in medicine.

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

[46]  S D Walter,et al.  Estimation of test error rates, disease prevalence and relative risk from misclassified data: a review. , 1988, Journal of clinical epidemiology.

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

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