Semiparametric and nonparametric methods for evaluating risk prediction markers in case-control studies

Keywords

Nonparametric statistics, Semiparametric model, Semiparametric regression, Econometrics, Computer science

References

• Large sample theory of maximum likelihood estimates in semiparametric biased sampling modelsPeter B. Gilbert — 2000
• The Statistical Evaluation of Medical Tests for Classification and PredictionPepe, Margaret Sullivan 1961- — 2003
• Signal detection theory and psychophysicsDavid Marvin Green, John A. Swets — 1966
• Statistical inference under order restrictions : the theory and application of isotonic regressionI. Vincze, R. E. Barlow, D. J. Bartholomew — 1973
• Large sample theory of empirical distributions in biased sampling modelsRichard D. Gill, Yehuda Vardi, Jon A. Wellner — 1988
• An Interpretation for the ROC Curve and Inference Using GLM ProceduresMargaret S. Pepe — 2000
• Logistic disease incidence models and case-control studiesRoss L. Prentice, Ronald Pyke — 1979
• Using logistic regression procedures for estimating receiver operating characteristic curvesJing Qin — 2003
• Goodness of fit tests for the multiple logistic regression modelDavid W. Hosmer, Stanley Lemesbow — 1980
• Cardiovascular disease risk profiles.Keaven M. Anderson, Patricia M. Odell, Peter W.F. Wilson — 1991
• Use and Misuse of the Receiver Operating Characteristic Curve in Risk PredictionNancy R. Cook — 2007
• A goodness-of-fit test for logistic regression models based on case-control dataJing Qin — 1997
• A parametric ROC model based approach for evaluating the predictiveness of continuous markers in case-control studiesYijian Huang, M. S. Pepe — 2009
• Quantile estimation under a two-sample semi-parametric modelBiao Zhang — 2000
• How to improve reliability and efficiency of research about molecular markers: roles of phases, guidelines, and study design.David F. Ransohoff — 2007
• Empirical Distributions in Selection Bias ModelsY. Vardi — 1985
• Empirical Likelihood and General Estimating EquationsQin Jin, Jerry Lawless — 1994
• Estimation of a convex ROC curveChris J. Lloyd — 2002
• Miscellanea. Maximum likelihood estimation of misclassification rates of a binomial regressionChris J. Lloyd — 2000
• Separate sample logistic discriminationJ. Anderson — 1972

Cited by

• A Note on Risk Prediction for Case-Control StudiesSherri Rose, Mark J. van der Laan — 2008
• A parametric ROC model based approach for evaluating the predictiveness of continuous markers in case-control studiesYijian Huang, M. S. Pepe — 2009
• Measures to Summarize and Compare the Predictive Capacity of MarkersWen Gu, Margaret S. Pepe — 2009

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