Ruth M. Pfeiffer

Molecular Biology · 2005–2014

A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Ruth M. Pfeiffer trusts overall

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

  1. Bradley Efron
  2. M. Stone
  3. Robert Tibshirani
  4. William N. Venables
  5. Ulisses M. Braga-Neto
  6. Trevor J. Hastie

Who trusts Ruth M. Pfeiffer overall

  1. Ji-Hyun Kim

Papers from Ruth M. Pfeiffer's perspective

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

  1. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  2. Cross‐Validatory Choice and Assessment of Statistical Predictions
  3. Modern Applied Statistics with S-Plus.
  4. The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma. (New England Journal of Medicine)
  5. Monographs on statistics and applied probability
  6. Human papillomavirus-associated cancers in patients with human immunodeficiency virus infection and acquired immunodeficiency syndrome. (Journal of the National Cancer Institute)
  7. An Introduction to the Bootstrap
  8. Is cross-validation valid for small-sample microarray classification? (Bioinform.)
  9. Cancer risk in the Swiss HIV Cohort Study: associations with immunodeficiency, smoking, and highly active antiretroviral therapy. (Journal of the National Cancer Institute)
  10. Pattern recognition and neural networks

Their papers