M
Margaret R. Karagas
Researcher at Dartmouth College
Publications - 528
Citations - 28181
Margaret R. Karagas is an academic researcher from Dartmouth College. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 84, co-authored 430 publications receiving 24195 citations. Previous affiliations of Margaret R. Karagas include Dartmouth–Hitchcock Medical Center.
Papers
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Journal ArticleDOI
Human polyomaviruses and incidence of cutaneous squamous cell carcinoma in the New Hampshire skin cancer study
Anala Gossai,Tim Waterboer,Anne G. Hoen,Shohreh F. Farzan,Shohreh F. Farzan,Heather H. Nelson,Angelika Michel,Martina Willhauck-Fleckenstein,Brock C. Christensen,Ann E. Perry,Michael Pawlita,Margaret R. Karagas +11 more
TL;DR: Limited evidence is provided that infection with certain PyVs may be related to the occurrence of SCC in the general population of the United States.
Book ChapterDOI
Supervising random forest using attribute interaction networks
TL;DR: A hybrid algorithm, MIN-guided RF (MINGRF), which overlays the neighborhood structure of MIN onto the growth of trees and concludes that MINGRF produces trees with a better accuracy at a smaller computational cost.
Journal ArticleDOI
High-resolution elemental mapping of human placental chorionic villi using synchrotron X-ray fluorescence spectroscopy
Tracy Punshon,Si Chen,Lydia Finney,Louisa Howard,Brian P. Jackson,Margaret R. Karagas,Kim Ornvold +6 more
TL;DR: The aims were to pilot placental biopsy specimen preparation techniques that could be integrated into an ongoing epidemiology birth cohort study without harming rates of sample acquisition and investigate a thaw-fixation protocol for archived specimens stored at −80 °C.
Proceedings ArticleDOI
A screening-testing approach for detecting gene-environment interactions using sequential penalized and unpenalized multiple logistic regression.
TL;DR: A novel approach that combines elements of screening-testing and hierarchical penalized regression is proposed that addresses the challenges of both poor power and omitted variable bias encountered with traditional G × E interaction detection methods.
Journal ArticleDOI
Modeling the Complex Exposure History of Smoking in Predicting Bladder Cancer: A Pooled Analysis of 15 Case-Control Studies.
Frits H.M. van Osch,Jelle Vlaanderen,Sylvia H J Jochems,Cristina Bosetti,Jerry Polesel,Stefano Porru,Angela Carta,Klaus Golka,Xuejuan Jiang,Mariana C. Stern,Wei-De Zhong,Eliane Kellen,Hermann Pohlabeln,Li Tang,James R. Marshall,Gunnar Steineck,Margaret R. Karagas,Kenneth C. Johnson,Zuo-Feng Zhang,Jack A. Taylor,Carlo La Vecchia,Richard T. Bryan,Frederik J. van Schooten,Anke Wesselius,Maurice P. Zeegers +24 more
TL;DR: This pooled analysis shows that long duration/low intensity smoking is associated with a greater increase in bladder cancer risk than short duration/high intensity smoking within equal pack–year categories, thus confirming studies in other smoking-related cancers and demonstrating that reducing exposure history to a single metric such as pack–years was too restrictive.