Researcher Profiles
Related Websites
Margaret Pepe
Degrees
Ph.D., University of Washington, Biomathematics, 1986.
M.S., University of Washington, Statistics, 1984.
B.S., University College, Cork, Mathematical Science, 1981.
Honors and Awards
1999-2000, Genontech Professor, University of Washington, Department of Biostatistics
1997, Mortimer Spiegelman Award, American Public Health Association
1981, Fullbright Scholar, University of Washington
Previous Positions
1991-1996, Associate Member, Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Department of Biostatistics
1988-1991, Staff Scientist, Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Department of Biostatistics
1988-1991, Assistant Member, Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Department of Biostatistics
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Recent Publications
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2013. Improving risk classification of critical illness with biomarkers: A simulation study.. Journal of critical care. Abstract
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2012. Further Insight Into the Incremental Value of New Markers: The Interpretation of Performance Measures and the Importance of Clinical Context.. American journal of epidemiology. Abstract
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2011. Joint modeling, covariate adjustment, and interaction: contrasting notions in risk prediction models and risk prediction performance.. Epidemiology (Cambridge, Mass.). 22(6):805-12. Abstract
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2011. Problems with risk reclassification methods for evaluating prediction models.. American journal of epidemiology. 173(11):1327-35. Abstract
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2011. Estimating the diagnostic likelihood ratio of a continuous marker.. Biostatistics (Oxford, England). 12(1):87-101. Abstract
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2011. Measuring the performance of markers for guiding treatment decisions.. Annals of internal medicine. 154(4):253-9. Abstract
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2011. Commentary: Reporting standards are needed for evaluations of risk reclassification.. International journal of epidemiology. 40(4):1106-8.
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2011. Improving biomarker identification with better designs and reporting.. Clinical chemistry. 57(8):1093-5.
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2010. The potential of genes and other markers to inform about risk.. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 19(3):655-65. Abstract
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2010. Assessing risk prediction models in case-control studies using semiparametric and nonparametric methods.. Statistics in medicine. 29(13):1391-410. Abstract
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2010. Contrasting two frameworks for ROC analysis of ordinal ratings.. Medical decision making : an international journal of the Society for Medical Decision Making. 30(4):484-98. Abstract
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2010. Semiparametric methods for evaluating the covariate-specific predictiveness of continuous markers in matched case-control studies.. Journal of the Royal Statistical Society. Series C, Applied statistics. 59(3):437-456. Abstract
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2009. Estimation and Comparison of Receiver Operating Characteristic Curves.. The Stata journal. 9(1):1. Abstract
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2009. Accommodating Covariates in ROC Analysis.. The Stata journal. 9(1):17-39. Abstract
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2009. Estimating the capacity for improvement in risk prediction with a marker.. Biostatistics (Oxford, England). 10(1):172-86. Abstract
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2009. Conditional estimation of sensitivity and specificity from a phase 2 biomarker study allowing early termination for futility.. Statistics in medicine. 28(5):762-79. Abstract
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2009. Methods for Assessing Improvement in Specificity when a Biomarker is Combined with a Standard Screening Test.. Statistics in biopharmaceutical research. 1(1):18-25. Abstract
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2009. A parametric ROC model-based approach for evaluating the predictiveness of continuous markers in case-control studies.. Biometrics. 65(4):1133-44. Abstract
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2009. Biomarker evaluation and comparison using the controls as a reference population.. Biostatistics (Oxford, England). 10(2):228-44. Abstract
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2009. Measures to Summarize and Compare the Predictive Capacity of Markers.. The international journal of biostatistics. 5(1):Article27. Abstract
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2008. Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: standards for study design.. Journal of the National Cancer Institute. 100(20):1432-8. Abstract
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2008. Assessing the value of risk predictions by using risk stratification tables.. Annals of internal medicine. 149(10):751-60. Abstract
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2008. Evaluating the ROC performance of markers for future events.. Lifetime data analysis. 14(1):86-113. Abstract
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2008. Matching in studies of classification accuracy: implications for analysis, efficiency, and assessment of incremental value.. Biometrics. 64(1):1-9. Abstract
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2008. Gauging the performance of SNPs, biomarkers, and clinical factors for predicting risk of breast cancer.. Journal of the National Cancer Institute. 100(14):978-9.
