L. Hayward

with Eerdewegh · 2004

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom L. Hayward trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Marylyn DeRiggi Ritchie
  2. Trevor J. Hastie
  3. Lance W. Hahn
  4. Yoav Freund
  5. Leo Breiman
  6. Charles L. Kooperberg
  7. Robert E. Schapire

Who trusts L. Hayward overall

  1. Hemant Ishwaran
  2. Heather J. Cordell
  3. Marco Sandri
  4. Carolin Strobl
  5. Miron Bartosz Kursa
  6. Anne-Laure Boulesteix
  7. Jing Li

Papers from L. Hayward's perspective

Ordered by how strongly the researchers L. Hayward trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.
  2. Experiments with a New Boosting Algorithm
  3. Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions (Bioinform.)
  4. Power of multifactor dimensionality reduction for detecting gene‐gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity (Genetic Epidemiology)
  5. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  6. Random Forests
  7. Sequence Analysis Using Logic Regression
  8. Pattern Recognition and Neural Networks
  9. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  10. Regression Shrinkage and Selection via the Lasso

Their papers