Author

Paige Maas

Division of Cancer Epidemiology and Genetics

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Amber WilcoxiD· 1 shared David P. CheckiD· 1 shared Mark N. BrookiD· 1 shared Montserrat García‐ClosasiD· 1 shared Nilanjan ChatterjeeiD· 1 shared Parichoy Pal ChoudhuryiD· 1 shared William WheeleriD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Amber WilcoxORCID

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1 paper

Recent·Most cited

iCARE: An R Package to Build, Validate and Apply Absolute Risk Models

Parichoy Pal Choudhury, Paige Maas, Amber Wilcox, William Wheeler, Mark N. Brook, David P. Check, Montserrat García‐Closas, Nilanjan Chatterjee

iCARE is an R package for building, validating, and applying absolute risk models using user-defined inputs and SNP data, demonstrated with breast cancer.

PLoS ONE · Feb 5, 2020Peer-reviewedBioinformatics