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Division of Cancer Epidemiology and Genetics

13 papers here488 citations across 13
fields
  • stat.ME5
  • stat.AP4
  • cs.LG1
  • q-bio.PE1
  • q-bio.QM1
  • stat.ML1
ROR 00vkwep27OpenAlex

affiliations via OpenAlex

output
20082024
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • B. Graubard2 profiles2 · h 106
  • Bill Wheeler1 · h 4
  • Bin Zhu1 · h 4
  • B. Moroz1 · h 11
  • C. Berg1 · h 0
  • Danping Liu1 · h 29
  • D. Bayer1 · h 3
  • D. Dunson1 · h 88
  • D. Kwon1 · h 35
  • D. Pee1 · h 38
  • E. Loftfield1 · h 31
  • Eun Ryung Lee1 · h 10
collaborating institutions
  • National Cancer InstituteUS9 papers
  • Johns Hopkins UniversityUS3 papers
  • National Institutes of HealthUS3 papers
  • American Cancer SocietyUS2 papers
  • Cancer Research And BiostatisticsUS2 papers
  • Harvard UniversityUS2 papers
  • Information Management ServicesUS2 papers
  • Sylvester Comprehensive Cancer CenterUS2 papers
  • The University of Texas MD Anderson Cancer CenterUS2 papers
  • University of California, San FranciscoUS2 papers
  • University of MiamiUS2 papers
  • Vanderbilt UniversityUS2 papers
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2023★ 4 cited

Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome study

Seyoung Park, Eun Ryung Lee, Hyokyoung G. Hong

Health outcomes, such as body mass index and cholesterol levels, are known to be dependent on age and exhibit varying effects with their associated risk factors. In this paper, we…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.