Mette Langaas
Statistics and Probability · 2005
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 15 citations into it; #5,811 of 12,932 by trust here, #5,857 by citations
- Molecular Biology — 10 citations into it; #5,571 of 17,773 by trust here, #12,742 by citations
- Management Science and Operations Research — 6 citations into it
Whom Mette Langaas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bradley Efron
- Gordon K. Smyth
- Bernard Walter Silverman
- John D. Storey
- Yoav Benjamini
- S. Pounds
- Helmut Finner
- Michael A. Newton
- George Casella
- Anat Reiner
Who trusts Mette Langaas overall
- Rohit K. Patra
- Helmut Finner
- T. Tony Cai
- Dan Nettleton
- Bradley Efron
- Matthew E. Ritchie
- Bodhisattva Sen
- V. Gontscharuk
- Korbinian Strimmer
- Wenguang Sun
Papers from Mette Langaas's perspective
Ordered by how strongly the researchers Mette Langaas trusts endorse each paper. Same corpus, a different order for every researcher.
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data (J. Comput. Biol.)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics
- Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
- A mixture model approach for the analysis of microarray gene expression data
- Identifying differentially expressed genes using false discovery rate controlling procedures (Bioinform.)
- Testing Statistical Hypotheses
- On the False Discovery Rate and Expected Type I Errors
- Estimating the Occurrence of False Positives and False Negatives in Microarray Studies by Approximating and Partitioning the Empirical Distribution of P-values (Bioinform.)
Their papers
- Estimating the proportion of true null hypotheses, with application to DNA microarray data (2005) — 311 citations