E
Eric J. Feuer
Researcher at National Institutes of Health
Publications - 237
Citations - 50596
Eric J. Feuer is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Population & Cancer. The author has an hindex of 71, co-authored 226 publications receiving 45885 citations. Previous affiliations of Eric J. Feuer include Fred Hutchinson Cancer Research Center & University of Texas MD Anderson Cancer Center.
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Journal ArticleDOI
Expected Monetary Impact of Oncotype DX Score-Concordant Systemic Breast Cancer Therapy Based on the TAILORx Trial.
Angela B. Mariotto,Jinani Jayasekerea,Valentina I. Petkov,Clyde B. Schechter,Lindsey Enewold,Kathy J. Helzlsouer,Eric J. Feuer,Jeanne S. Mandelblatt +7 more
TL;DR: Personalizing breast cancer treatment based on tumor genetic profiles could result in small cost decreases in the initial 12 months of care.
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Modeling the impact of population screening on breast cancer mortality in the United States.
Jeanne S. Mandelblatt,Kathleen A. Cronin,Donald A. Berry,Yaojen Chang,Harry J. de Koning,Sandra J. Lee,Sylvia K. Plevritis,Clyde B. Schechter,Natasha K. Stout,Nicolien T. van Ravesteyn,Marvin Zelen,Eric J. Feuer +11 more
TL;DR: Decisions about screening strategy depend on preferences for benefits vs. potential harms and resource considerations, and calculate mammograms, mortality reduction, false-positives, unnecessary biopsies and over-diagnosis.
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Prognostic significance of in situ carcinoma associated with invasive breast carcinoma. A natural experiment in cancer immunology
TL;DR: If in situ carcinomas are indeed associated with ambient, prognostically favorable immunity against such an immunogen, one would expect lethality from invasive breast carcinoma to be reduced in patients with a diagnosis of a prior, simultaneous, or subsequent in situ breast carcinomas.
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Chapter 1: The Impact of the Reduction in Tobacco Smoking on U.S. Lung Cancer Mortality, 1975–2000: An Introduction to the Problem
TL;DR: Using three scenarios and the lung cancer models, the number and percentage of lung cancer deaths averted from 1975–2000, among all deaths that could have been averted if tobacco control efforts been immediate and perfect, can be estimated.
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Use of Multiple Imputation to Correct for Bias in Lung Cancer Incidence Trends by Histologic Subtype
TL;DR: A multiple imputation method to correct lung cancer incidence for nonspecific histology using data from the Surveillance, Epidemiology, and End Results Program during 1975 to 2010 provides a valuable tool for bridging the different histology definitions, allowing meaningful inferences about the long-term trends of lung cancer by histologic subtype.