J. Wakefield
Genetics · with Akey · 2004–2022
A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 20 citations into it; #924 of 6,854 by trust here, #4,240 by citations
- Molecular Biology — 20 citations into it; #2,930 of 17,773 by trust here, #12,742 by citations
- Statistics and Probability — 19 citations into it; #3,419 of 12,932 by trust here, #6,080 by citations
- Artificial Intelligence — 12 citations into it
Whom J. Wakefield trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John D. Storey
- David J. Balding
- William Y S Wang
- John P. A. Ioannidis
- Cedric E. Ginestet
- Yoav Benjamini
- B. Barratt
- Joel Hirschhorn
- Bradley Efron
- Håvard Rue
Who trusts J. Wakefield overall
- Lars Bertram
- Hamish Cunningham
- Christina M. Lill
- Valentin Tablan
- Frank Dudbridge
- Rudolph E. Tanzi
- Eleftheria Zeggini
- Peter Kraft
- Angus Roberts
- Duncan C. Thomas
Papers from J. Wakefield's perspective
Ordered by how strongly the researchers J. Wakefield trusts endorse each paper. Same corpus, a different order for every researcher.
- The positive false discovery rate: a Bayesian interpretation and the q-value
- Genome-wide association studies for common diseases and complex traits (Nature reviews genetics)
- Why Most Published Research Findings Are False
- Genome-wide association studies: theoretical and practical concerns (Nature reviews genetics)
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
- A tutorial on statistical methods for population association studies (Nature reviews genetics)
- ggplot2: Elegant Graphics for Data Analysis
- Genetic analysis of genome-wide variation in human gene expression (Nature)
- Principal components analysis corrects for stratification in genome-wide association studies
- The effects of human population structure on large genetic association studies
Their papers
- A Bayesian measure of the probability of false discovery in genetic epidemiology studies. (2007) — 507 citations
- The WHO estimates of excess mortality associated with the COVID-19 pandemic (2022) — 834 citations
- Impacts of Neanderthal-introgressed sequences on the landscape of human gene expression (2017) — 158 citations
- Ecological inference for 2 × 2 tables (with discussion) (2004) — 66 citations