David O. Siegmund

Genetics · 1985–2014

A researcher in the Science corpus: 6 papers; trusts 28 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Genetics — 15 citations into it; #645 of 6,854 by trust here, #4,240 by citations
• Molecular Biology — 14 citations into it; #1,837 of 17,773 by trust here, #11,818 by citations
• Statistics and Probability — 14 citations into it; #1,389 of 12,932 by trust here, #1,420 by citations
• Plant Science — 7 citations into it; #695 of 8,232 by trust here, #6,330 by citations
• Management Science and Operations Research — 6 citations into it; #1,041 of 11,946 by trust here, #1,155 by citations

Whom David O. Siegmund trusts overall

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

1. Yoav Benjamini
2. John D. Storey
3. Robert Tibshirani
4. Marc Lavielle
5. Adam B. Olshen
6. Peter J. Green
7. Y. Hochberg
8. Helmut Finner
9. Nicolai Meinshausen
10. Edward I. George

Who trusts David O. Siegmund overall

1. E.J. Candes
2. Yoav Benjamini
3. Nikolaos Ignatiadis
4. Joseph P. Romano
5. Tze Leung Lai
6. Paul Fearnhead
7. Rina Foygel Barber
8. Lam Si Tung Ho
9. Sanat K. Sarkar
10. Nancy Ruonan Zhang

Papers from David O. Siegmund's perspective

Ordered by how strongly the researchers David O. Siegmund trusts endorse each paper. Same corpus, a different order for every researcher.

1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
2. Estimating the Dimension of a Model
3. Regression Shrinkage and Selection via the Lasso
4. Assembly of microarrays for genome-wide measurement of DNA copy number (Nature Genetics)
5. A direct approach to false discovery rates
6. Operating characteristics and extensions of the false discovery rate procedure
7. The positive false discovery rate: a Bayesian interpretation and the q-value
8. Circular binary segmentation for the analysis of array-based DNA copy number data. (Biostatistics)
9. Chromosome aberrations in solid tumors (Nature Genetics)
10. Multiple hypotheses testing and expected number of type I. errors

Their papers

• Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach (2004) — 1,557 citations
• False discovery rate for scanning statistics (2011) — 69 citations
• Higher criticism: $p$-values and criticism (2014) — 59 citations
• A Modified Bayes Information Criterion with Applications to the Analysis of Comparative Genomic Hybridization Data (2007) — 434 citations
• MODEL SELECTION FOR HIGH-DIMENSIONAL, MULTI-SEQUENCE CHANGE-POINT PROBLEMS (2012) — 44 citations
• A Convergence Theorem for Non Negative Almost Supermartingales and Some Applications (1985)