G. Di Leo

Statistics and Probability · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom G. Di Leo trusts overall

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

  1. John P. A. Ioannidis
  2. Keith A. Baggerly
  3. Itsik Pe'er
  4. R. Wasserstein
  5. Kevin R. Coombes
  6. Roman Yelensky
  7. Valentin Amrhein
  8. David Altshuler

Papers from G. Di Leo's perspective

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

  1. Why Most Published Research Findings Are False
  2. Estimation of the multiple testing burden for genomewide association studies of nearly all common variants (Genetic Epidemiology)
  3. The ASA Statement on p-Values: Context, Process, and Purpose
  4. The Proposal to Lower P Value Thresholds to .005. (Journal of the American Medical Association (JAMA))
  5. The NHGRI GWAS Catalog, a curated resource of SNP-trait associations
  6. Moving to a World Beyond “p < 0.05” (American Statistician)
  7. Statistical Methods for Research Workers
  8. An Introduction to Second-Generation p-Values (American Statistician)
  9. Deriving chemosensitivity from cell lines: Forensic bioinformatics and reproducible research in high-throughput biology
  10. Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine (European Radiology Experimental)

Their papers