Margaret S Pepe

发表

Quantifying and comparing the accuracy of binary biomarkers when predicting a failure time outcome.

Chaya S Moskowitz, Margaret S Pepe, 2004, Statistics in medicine.

Net reclassification indices for evaluating risk prediction instruments: a critical review.

Kathleen F. Kerr, Kathleen F Kerr, Holly Janes, 2014, Epidemiology.

Evaluating the ROC performance of markers for future events

Ying Huang, Yingye Zheng, Chirag R Parikh, 2008, Lifetime data analysis.

Adopting nested case–control quota sampling designs for the evaluation of risk markers

Tianxi Cai, Yingye Zheng, Margaret S Pepe, 2013, Lifetime Data Analysis.

Using the ROC curve for gauging treatment effect in clinical trials

Margaret S Pepe, Todd A Alonzo, Lyndia C Brumback, 2006, Statistics in medicine.

Quantifying and comparing the predictive accuracy of continuous prognostic factors for binary outcomes.

Chaya S Moskowitz, Margaret S Pepe, M. Pepe, 2004, Biostatistics.

Time-Dependent Predictive Values of Prognostic Biomarkers With Failure Time Outcome

Tianxi Cai, Yingye Zheng, Margaret S Pepe, 2008, Journal of the American Statistical Association.

Problems with risk reclassification methods for evaluating prediction models.

Margaret S Pepe, M. Pepe, 2011, American journal of epidemiology.

Further insight into the incremental value of new markers: the interpretation of performance measures and the importance of clinical context.

Aasthaa Bansal, Kathleen F Kerr, Margaret S Pepe, 2012, American journal of epidemiology.

Statistical inference for net benefit measures in biomarker validation studies

Tracey L Marsh, Holly Janes, Margaret S Pepe, 2019, Biometrics.

Combining biomarkers by maximizing the true positive rate for a fixed false positive rate.

Marco Carone, Kathleen F Kerr, Allison Meisner, 2021, Biometrical journal. Biometrische Zeitschrift.

LOGISTIC REGRESSION ANALYSIS WITH STANDARDIZED MARKERS.

Ziding Feng, Margaret S Pepe, Ying Huang, 2013, The annals of applied statistics.

Early-Phase Studies of Biomarkers: What Target Sensitivity and Specificity Values Might Confer Clinical Utility?

Holly Janes, Ziding Feng, Margaret S Pepe, 2016, Clinical chemistry.

Integrating the predictiveness of a marker with its performance as a classifier.

Yingye Zheng, Gary Longton, Ziding Feng, 2007, American journal of epidemiology.

Matching in Studies of Classification Accuracy: Implications for Analysis, Efficiency, and Assessment of Incremental Value

Holly Janes, Margaret S Pepe, M. Pepe, 2008, Biometrics.

An Approach to Evaluating and Comparing Biomarkers for Patient Treatment Selection

Holly Janes, Margaret S Pepe, Ying Huang, 2014, The international journal of biostatistics.

Net risk reclassification p values: valid or misleading?

Holly Janes, Margaret S Pepe, M. Pepe, 2014, Journal of the National Cancer Institute.

Assessing the Value of Risk Predictions by Using Risk Stratification Tables

Holly Janes, Margaret S Pepe, M. Pepe, 2008, Annals of Internal Medicine.

The Fundamental Difficulty With Evaluating the Accuracy of Biomarkers for Guiding Treatment.

Daniel J Sargent, Patrick J Heagerty, Holly Janes, 2015, Journal of the National Cancer Institute.

Improving the Quality of Biomarker Discovery Research: The Right Samples and Enough of Them

Ziding Feng, Margaret S Pepe, M. Pepe, 2015, Cancer Epidemiology, Biomarkers & Prevention.

Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve.

Holly Janes, Margaret S Pepe, M. Pepe, 2009, Biometrika.

Designing a study to evaluate the benefit of a biomarker for selecting patient treatment

Holly Janes, Margaret S Pepe, M. Pepe, 2015, Statistics in medicine.

Letter by Pepe et al regarding article, "Use and misuse of the receiver operating characteristic curve in risk prediction".

Holly Janes, Margaret S Pepe, M. Pepe, 2007, Circulation.

Variability in Pathologists' Interpretations of Individual Breast Biopsy Slides: A Population Perspective

Donald L Weaver, Joann G Elmore, Tracy Onega, 2016, Annals of Internal Medicine.

Joint Modeling, Covariate Adjustment, and Interaction: Contrasting Notions in Risk Prediction Models and Risk Prediction Performance

Kathleen F Kerr, Margaret S Pepe, M. Pepe, 2011, Epidemiology.

Sample size calculations for comparative studies of medical tests for detecting presence of disease

Chaya S Moskowitz, Margaret S Pepe, Todd A Alonzo, 2002, Statistics in medicine.

Pathologists ' diagnosis of invasive melanoma and melanocytic proliferations : observer accuracy and reproducibility study

Joann G Elmore, Tracy Onega, Heidi D Nelson, 2019 .

The diagnostic challenge of low-grade ductal carcinoma in situ.

Donald L Weaver, Joann G Elmore, Tracy Onega, 2017, European journal of cancer.

Methods for Assessing Improvement in Specificity When a Biomarker is Combined With a Standard Screening Test

Pamela A Shaw, Ruth Etzioni, Margaret S Pepe, 2009, Statistics in biopharmaceutical research.

Commentary: Reporting standards are needed for evaluations of risk reclassification.

Holly Janes, Margaret S Pepe, M. Pepe, 2011, International journal of epidemiology.

Practice of Epidemiology Adjusting for Covariates in Studies of Diagnostic, Screening, or Prognostic Markers: an Old Concept in a New Setting

Holly Janes, Margaret S Pepe, M. Pepe, 2022 .

Gauging the performance of SNPs, biomarkers, and clinical factors for predicting risk of breast cancer.

Margaret S Pepe, Holly E Janes, M. Pepe, 2008, Journal of the National Cancer Institute.