J. Adcock
2008
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom J. Adcock trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from J. Adcock's perspective
Ordered by how strongly the researchers J. Adcock trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
- Confusion Over Measures of Evidence (p's) Versus Errors (α's) in Classical Statistical Testing
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Adaptive Control Processes: A Guided Tour
- Genetic analysis of genome-wide variation in human gene expression (Nature)
- Singular value decomposition for genome-wide expression data processing and modeling. (Proceedings of the National Academy of Sciences of the United States of America)
- A new look at the statistical model identification
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Addendum: Regularization and variable selection via the elastic net
- Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations. (Proceedings of the National Academy of Sciences of the United States of America)
Their papers
- P-Values are Random Variables (2008) — 134 citations