Jelle J. Goeman
Statistics and Probability · 2004–2019
A researcher in the Science corpus: 14 papers; trusts 77 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 121 citations into it; #1,916 of 12,932 by trust here, #2,579 by citations
- Management Science and Operations Research — 49 citations into it; #4,174 of 11,946 by trust here, #7,262 by citations
- Molecular Biology — 45 citations into it; #1,127 of 17,773 by trust here, #6,095 by citations
- Artificial Intelligence — 20 citations into it; #16,717 of 35,345 by trust here, #15,542 by citations
- Genetics — 11 citations into it; #583 of 6,854 by trust here, #4,339 by citations
- Evaluation & Benchmarks — 10 citations into it
- Optimization & Training — 9 citations into it
- Control and Systems Engineering — 7 citations into it
Whom Jelle J. Goeman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicolai Meinshausen
- Yoav Benjamini
- Robert Tibshirani
- John D. Storey
- D. Yekutieli
- Joseph P. Romano
- Bradley Efron
- Aldo Solari
- Helmut Finner
- Y. Hochberg
Who trusts Jelle J. Goeman overall
- Aldo Solari
- Jesse Hemerik
- Jianguo Xia
- Nicolai Meinshausen
- Anders Gorst-rasmussen
- Mark Rubin
- David S. Wishart
- Sharad Goel
- Dougu Nam
- Noah R. Simon
Papers from Jelle J. Goeman's perspective
Ordered by how strongly the researchers Jelle J. Goeman trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- Regression Shrinkage and Selection via the Lasso
- Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
- A direct approach to false discovery rates
- A Simple Sequentially Rejective Multiple Test Procedure
- Addendum: Regularization and variable selection via the elastic net
- The Elements of Statistical Learning
- An improved Bonferroni procedure for multiple tests of significance
- Model selection and estimation in regression with grouped variables
Their papers
- L1 Penalized Estimation in the Cox Proportional Hazards Model (2009) — 836 citations
- The Sequential Rejection Principle of Familywise Error Control (2010) — 127 citations
- Testing against a high dimensional alternative (2006) — 261 citations
- A global test for groups of genes: testing association with a clinical outcome (2004) — 1,110 citations
- Plea for routinely presenting prediction intervals in meta-analysis (2016) — 1,798 citations
- Multiple Testing for Exploratory Research (2011) — 242 citations
- Variability in the analysis of a single neuroimaging dataset by many teams (2019) — 901 citations
- Analyzing gene expression data in terms of gene sets: methodological issues (2007) — 808 citations
- Multiple hypothesis testing in genomics (2014) — 366 citations
- Permutation-based simultaneous confidence bounds for the false discovery proportion (2018) — 50 citations
- Simultaneous control of all false discovery proportions in large-scale multiple hypothesis testing (2016) — 57 citations
- Only closed testing procedures are admissible for controlling false discovery proportions (2019) — 54 citations
- Resolving confusion of tongues in statistics and machine learning: A primer for biologists and bioinformaticians (2012) — 7 citations
- Testing against a high-dimensional alternative in the generalized linear model: asymptotic type I error control (2011) — 78 citations