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Ziding Feng
Margaret S Pepe

Showing results (1-10 of 318) with videos related to

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Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|November 11, 2020
Adding Rigor to Biomarker Evaluations-EDRN ExperienceZiding Feng, Margaret S Pepe
The Annals of Applied Statistics|November 9, 2013
LOGISTIC REGRESSION ANALYSIS WITH STANDARDIZED MARKERSYing Huang, Margaret S Pepe, Ziding Feng
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|April 4, 2015
Improving the quality of biomarker discovery research: the right samples and enough of themMargaret S Pepe, Christopher I Li, Ziding Feng
Statistics in Biosciences|October 28, 2015
The Net Reclassification Index (NRI): a Misleading Measure of Prediction Improvement Even with Independent Test Data SetsMargaret S Pepe, Jing Fan, Ziding Feng, et al.
Journal of the National Cancer Institute|October 9, 2008
Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: standards for study designMargaret S Pepe, Ziding Feng, Holly Janes, et al.
Clinical Chemistry|March 23, 2016
Early-Phase Studies of Biomarkers: What Target Sensitivity and Specificity Values Might Confer Clinical Utility?Margaret S Pepe, Holly Janes, Christopher I Li, et al.
American Journal of Epidemiology|November 6, 2007
Integrating the predictiveness of a marker with its performance as a classifierMargaret S Pepe, Ziding Feng, Ying Huang, et al.
American Journal of Epidemiology|May 11, 2011
Problems with risk reclassification methods for evaluating prediction modelsMargaret S Pepe
Scandinavian Journal of Clinical and Laboratory Investigation. Supplementum|June 3, 2010
Classification versus association models: should the same methods apply?Ziding Feng
Biometrics|May 16, 2007
Matching in studies of classification accuracy: implications for analysis, efficiency, and assessment of incremental valueHolly Janes, Margaret S Pepe
Pageof 32

Showing results (1-10 of 318) with videos related to

Sort By:
Pageof 32
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|November 11, 2020
Adding Rigor to Biomarker Evaluations-EDRN ExperienceZiding Feng, Margaret S Pepe
The Annals of Applied Statistics|November 9, 2013
LOGISTIC REGRESSION ANALYSIS WITH STANDARDIZED MARKERSYing Huang, Margaret S Pepe, Ziding Feng
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|April 4, 2015
Improving the quality of biomarker discovery research: the right samples and enough of themMargaret S Pepe, Christopher I Li, Ziding Feng
Statistics in Biosciences|October 28, 2015
The Net Reclassification Index (NRI): a Misleading Measure of Prediction Improvement Even with Independent Test Data SetsMargaret S Pepe, Jing Fan, Ziding Feng, et al.
Journal of the National Cancer Institute|October 9, 2008
Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: standards for study designMargaret S Pepe, Ziding Feng, Holly Janes, et al.
Clinical Chemistry|March 23, 2016
Early-Phase Studies of Biomarkers: What Target Sensitivity and Specificity Values Might Confer Clinical Utility?Margaret S Pepe, Holly Janes, Christopher I Li, et al.
American Journal of Epidemiology|November 6, 2007
Integrating the predictiveness of a marker with its performance as a classifierMargaret S Pepe, Ziding Feng, Ying Huang, et al.
American Journal of Epidemiology|May 11, 2011
Problems with risk reclassification methods for evaluating prediction modelsMargaret S Pepe
Scandinavian Journal of Clinical and Laboratory Investigation. Supplementum|June 3, 2010
Classification versus association models: should the same methods apply?Ziding Feng
Biometrics|May 16, 2007
Matching in studies of classification accuracy: implications for analysis, efficiency, and assessment of incremental valueHolly Janes, Margaret S Pepe
Pageof 32