World's Best Scientists 2026 revealed!
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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
74
Citations
29145
World Ranking
212
National Ranking
121

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award

Overview

Margaret S. Pepe is affiliated with the Fred Hutchinson Cancer Research Center in the United States. The center is known for its contributions to cancer research, and professionals associated with it often focus on epidemiology, biostatistics, and clinical investigation.

Despite the absence of specific records on published papers, co-authors, or detailed research topics, the association with this institution suggests involvement in cancer-related studies, likely with a focus on translating research findings into clinical applications.

There is no available data on frequent publication venues, book publications, fields of study, or specific topics tied to Margaret S. Pepe, which limits the ability to elaborate on particular research interests or thematic areas.

No awards or recognitions have been recorded, and there is no indication of the scientist being deceased, so all references are in present tense.

Best Publications

  • Time-Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker

    Patrick J. Heagerty;Thomas Lumley;Margaret S. Pepe

  • Continual reassessment method: a practical design for phase 1 clinical trials in cancer.

    John O'Quigley;Margaret Pepe;Lloyd Fisher

  • Phases of Biomarker Development for Early Detection of Cancer

    Margaret Sullivan Pepe;Ruth Etzioni;Ziding Feng;John D. Potter

  • Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic, Prognostic, or Screening Marker

    Margaret Sullivan Pepe;Holly Janes;Gary Longton;Wendy Leisenring

  • Kaplan—meier, marginal or conditional probability curves in summarizing competing risks failure time data?

    Margaret Sullivan Pepe;Motomi Mori

  • Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design

    Margaret S. Pepe;Ziding Feng;Holly Janes;Patrick M. Bossuyt

  • A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data

    Margaret Sullivan Pepe;Garnet L Anderson

  • Net Reclassification Indices for Evaluating Risk Prediction Instruments: A Critical Review

    Kathleen F. Kerr;Zheyu Wang;Holly Janes;Robyn L. McClelland

  • Comparisons of Predictive Values of Binary Medical Diagnostic Tests for Paired Designs

    Wendy Leisenring;Wendy Leisenring;Todd Alono;Todd Alono;Margaret Sullivan Pepe;Margaret Sullivan Pepe

  • Partial AUC estimation and regression.

    Lori E. Dodd;Margaret S. Pepe

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

    Joann G Elmore;Raymond L Barnhill;David E Elder;Gary M Longton

  • Gender Gap in Cystic Fibrosis Mortality

    Margaret Rosenfeld;Robert Davis;Stacey FitzSimmons;Margaret Pepe

  • Combining diagnostic test results to increase accuracy.

    Margaret Sullivan Pepe;Mary Lou Thompson

  • Weighted Kaplan-Meier statistics: a class of distance tests for censored survival data.

    Margaret Sullivan Pepe;Thomas R. Fleming

  • Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates

    Margaret Sullivan Pepe;Jianwen Cai

  • Estimation and Comparison of Receiver Operating Characteristic Curves

    Margaret S. Pepe;Gary M. Longton;Holly Janes

  • Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve

    Margaret Sullivan Pepe;Margaret Sullivan Pepe;Tianxi Cai;Gary Longton

  • Combining several screening tests: optimality of the risk score.

    Martin W. McIntosh;Margaret Sullivan Pepe;Margaret Sullivan Pepe

  • A data-analytic strategy for protein biomarker discovery: profiling of high-dimensional proteomic data for cancer detection.

    Yutaka Yasui;Margaret S. Pepe;Mary Lou Thompson;Bao-Ling Adam

  • Integrating the Predictiveness of a Marker with Its Performance as a Classifier

    Margaret S. Pepe;Margaret S. Pepe;Ziding Feng;Ying Huang;Gary M. Longton

  • A mean score method for missing and auxiliary covariate data in regression models

    Marie Reilly;Margaret Sullivan Pepe

  • An Interpretation for the ROC Curve and Inference Using GLM Procedures

    Margaret Sullivan Pepe

  • Inference for Events with Dependent Risks in Multiple Endpoint Studies

    Margaret Sullivan Pepe

  • Assessing the Value of Risk Predictions by Using Risk Stratification Tables

    Holly Janes;Margaret S. Pepe;Wen Gu

Frequent Co-Authors

Ziding Feng
Ziding Feng Fred Hutchinson Cancer Research Center
Joann G. Elmore
Joann G. Elmore University of California, Los Angeles
Rainer Storb
Rainer Storb Fred Hutchinson Cancer Research Center
Todd A. Alonzo
Todd A. Alonzo University of Southern California
Claudio Anasetti
Claudio Anasetti Fred Hutchinson Cancer Research Center
Wendy Leisenring
Wendy Leisenring Fred Hutchinson Cancer Research Center
Anna N. A. Tosteson
Anna N. A. Tosteson Dartmouth College
Christopher I. Li
Christopher I. Li Fred Hutchinson Cancer Research Center
Robert P. Witherspoon
Robert P. Witherspoon Fred Hutchinson Cancer Research Center
Keith M. Sullivan
Keith M. Sullivan Duke University

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