R
Ross L. Prentice
Researcher at Fred Hutchinson Cancer Research Center
Publications - 407
Citations - 37908
Ross L. Prentice is an academic researcher from Fred Hutchinson Cancer Research Center. The author has contributed to research in topics: Breast cancer & Women's Health Initiative. The author has an hindex of 94, co-authored 407 publications receiving 33619 citations. Previous affiliations of Ross L. Prentice include Argonne National Laboratory & Radiation Effects Research Foundation.
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Options for basing Dietary Reference Intakes (DRIs) on chronic disease endpoints: report from a joint US-/Canadian-sponsored working group
Elizabeth A Yetley,Amanda J. MacFarlane,Linda S. Greene-Finestone,Cutberto Garza,Cutberto Garza,Cutberto Garza,Jamy D. Ard,Stephanie A. Atkinson,Dennis M. Bier,Alicia L. Carriquiry,William R. Harlan,Dale Hattis,Janet C King,Janet C King,Janet C King,Daniel Krewski,Deborah L O'Connor,Ross L. Prentice,Ross L. Prentice,Joseph V. Rodricks,George A. Wells +20 more
TL;DR: A multidisciplinary working group sponsored by the Canadian and US government DRI steering committees met from November 2014 to April 2016 to identify options for addressing key scientific challenges encountered in the use of chronic disease endpoints to establish reference values.
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A review of the association of estrogens and progestins with cardiovascular disease in postmenopausal women.
Bruce M. Psaty,Susan R. Heckbert,David C. Atkins,David S. Siscovick,Thomas D. Koepsell,Patricia W. Wahl,W. T. Longstreth,Noel S. Weiss,Edward H. Wagner,Ross L. Prentice,Curt D. Furberg +10 more
TL;DR: The lipid effects of estrogens in postmenopausal women probably prevent atherosclerosis, and it would expect long duration of use rather than current use to provide the greatest benefit, although few epidemiologic studies have assessed duration of estrogen use.
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A Regularized Hotelling’s T2 Test for Pathway Analysis in Proteomic Studies
TL;DR: A regularized Hotelling’s T2 (RHT) statistic is proposed together with a nonparametric testing procedure, which effectively controls the Type I error rate and maintains good power in the presence of complex correlation structures and missing data patterns.
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Approaches to monitoring the results of long-term disease prevention trials: Examples from the Women's Health Initiative
Laurence S. Freedman,Garnet L. Anderson,Victor Kipnis,Ross L. Prentice,Ching Yun Wang,Jacques E. Rossouw,Janet Wittes,David L. DeMets +7 more
TL;DR: In this paper, the authors compare monitoring therapeutic trials with monitoring prevention trails and argue that in monitoring prevention trials one should place more emphasis on formally defined global measures of health, not simply on a single targeted disease.
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Improved Logrank-Type Tests for Survival Data Using Adaptive Weights
Song Yang,Ross L. Prentice +1 more
TL;DR: The adaptively weighted logrank test maintains optimality at the proportional alternatives, while improving the power over a wide range of nonproportional alternatives, as illustrated in several real data examples.