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Charles B. Eaton

Researcher at Brown University

Publications -  527
Citations -  24833

Charles B. Eaton is an academic researcher from Brown University. The author has contributed to research in topics: Women's Health Initiative & Osteoarthritis. The author has an hindex of 69, co-authored 493 publications receiving 20933 citations. Previous affiliations of Charles B. Eaton include University of Manchester & Memorial Hospital of South Bend.

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On TI and TI Defect Blocks

TL;DR: Alperin and Broue as mentioned in this paper show that every trivial intersection block of a finite group has trivial intersection (TI) defect groups but that the converse is not true in general, and give further weight to Olsson's assertion that TI blocks are a better generalization of groups with TI Sylow p -subgroups than are TI defect blocks.
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Modifiable Resources and Resilience in Racially and Ethnically Diverse Older Women: Implications for Health Outcomes and Interventions

TL;DR: In this paper , a secondary analysis on 77,395 women aged 62+ (4475 Black or African American, 69,448 non-Hispanic white, 1891 Hispanic/Latina, and 1581 Asian or Pacific Islanders) who enrolled in the Women's Health Initiative Extension Study (WHI-ES) was conducted in the United States.
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Physical activity modifies the relation between gestational perfluorooctanoic acid exposure and adolescent cardiometabolic risk.

TL;DR: In this article , the authors evaluated whether adolescent lifestyle factors modified associations between gestational PFAS exposure and cardiometabolic risk using a prospective cohort study using multivariable linear regression and weighted quantile sum regression.
Posted ContentDOI

Exome chip meta-analysis elucidates the genetic architecture of rare coding variants in smoking and drinking behavior

Dajiang J. Liu, +63 more
- 12 Sep 2017 - 
TL;DR: The findings indicate that rare coding variants contribute to phenotypic variation, but that much larger samples and/or denser genotyping of rare variants will be required to successfully identify associations with these phenotypes, whether individual variants or gene‐ based associations.