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
Predicting US- and state-level cancer counts for the current calendar year: Part II: evaluation of spatiotemporal projection methods for incidence.
Li Zhu,Linda Williams Pickle,Kaushik Ghosh,Deepa Naishadham,Kenneth M. Portier,Huann-Sheng Chen,Hyune Ju Kim,Zhaohui Zou,James E. Cucinelli,Betsy A. Kohler,Brenda K. Edwards,Jessica B. King,Eric J. Feuer,Ahmedin Jemal +13 more
TL;DR: The current study was undertaken to evaluate the spatiotemporal projection models applied by the American Cancer Society to predict the number of new cancer cases.
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Clarifying differences in natural history between models of screening: the case of colorectal cancer.
Marjolein van Ballegooijen,Carolyn M. Rutter,Amy B. Knudsen,Ann G. Zauber,James Savarino,Iris Lansdorp-Vogelaar,Rob J. de Boer,Eric J. Feuer,J. Dik F. Habbema,Karen M. Kuntz +9 more
TL;DR: A new measure is proposed, the MCLIR, which summarizes the implications for predicted screening effectiveness of differences in natural history assumptions and is included in the standard description of a screening model to improve the transparency of these models.
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Chapter 3: Cohort life tables by smoking status, removing lung cancer as a cause of death.
Marjorie A. Rosenberg,Eric J. Feuer,Binbing Yu,Jiafeng Sun,S. Jane Henley,Thomas G. Shanks,Christy M. Anderson,Pamela M. McMahon,Michael J. Thun,David M. Burns +9 more
TL;DR: In this article, the authors developed life tables by smoking status removing lung cancer as a cause of death, which are inputs to studies that compare the effectiveness of lung cancer treatments or interventions, and provide a way to quantify time until death from causes other than lung cancer.
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Are increases in mammographic screening still a valid explanation for trends in breast cancer incidence in the United States
TL;DR: Breast cancer trends are seen to be generally consistent with the impact of the increased use of mammography when its effect is superimposed upon the background of declining or slowing secular trends.
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Modeling the impact of the decline in distant stage disease on prostate carcinoma mortality rates
TL;DR: The authors model the potential impact of this stage shift on prostate carcinoma mortality rates given various assumptions concerning the survival of patients with screen‐detected local‐regional disease.