Multiple hypothesis testing in genomics

Selective inference on multiple families of hypotheses

(2013) Yoav Benjamini et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Traditional multiplicity adjustment methods in clinical trials

(2013) Alex Dmitrienko et al.   STATISTICS IN MEDICINE

Asymptotic optimality of the Westfall–Young permutation procedure for multiple testing under dependence

(2012) Nicolai Meinshausen et al.   ANNALS OF STATISTICS

Tweedie’s Formula and Selection Bias

(2012) Bradley Efron   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The Inheritance Procedure: Multiple Testing of Tree-structured Hypotheses

(2012) Jelle J. Goeman et al.   Statistical Applications in Genetics and Molecular Biology

Rejoinder

(2012) Jelle J. Goeman et al.   STATISTICAL SCIENCE

Multiple Testing for Exploratory Research

(2012) Jelle J. Goeman et al.   STATISTICAL SCIENCE

The effect of correlation in false discovery rate estimation

(2011) A. Schwartzman et al.   BIOMETRIKA

On adaptive procedures controlling the familywise error rate

(2011) Sanat K. Sarkar et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Estimating the number of true discoveries in genome-wide association studies

(2011) Woojoo Lee et al.   STATISTICS IN MEDICINE

The sequential rejection principle of familywise error control

(2010) Jelle J. Goeman et al.   ANNALS OF STATISTICS

Simultaneous and selective inference: Current successes and future challenges

(2010) Yoav Benjamini   BIOMETRICAL JOURNAL

Filtering, FDR and power

(2010) Maarten van Iterson et al.   BMC BIOINFORMATICS

Correlatedz-Values and the Accuracy of Large-Scale Statistical Estimates

(2010) Bradley Efron   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Independent filtering increases detection power for high-throughput experiments

(2010) R. Bourgon et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Permutation P-values Should Never Be Zero: Calculating Exact P-values When Permutations Are Randomly Drawn

(2010) Belinda Phipson et al.   Statistical Applications in Genetics and Molecular Biology

High-dimensional data analysis: Selection of variables, data compression and graphics - Application to gene expression

(2009) Jürgen Läuter et al.   BIOMETRICAL JOURNAL

Filtering for increased power for microarray data analysis

(2009) Amber J Hackstadt et al.   BMC BIOINFORMATICS

Hunting for Significance With the False Discovery Rate

(2009) Martin Posch et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Multiple testing on the directed acyclic graph of gene ontology

(2008) Jelle J. Goeman et al.   BIOINFORMATICS

Multiple Testing with Minimal Assumptions

(2008) Peter H. Westfall et al.   BIOMETRICAL JOURNAL

Hierarchical testing of variable importance

(2008) N. Meinshausen   BIOMETRIKA

Effects of dependence in high-dimensional multiple testing problems

(2008) Kyung In Kim et al.   BMC BIOINFORMATICS

Genome-wide significance for dense SNP and resequencing data

(2008) Clive J. Hoggart et al.   GENETIC EPIDEMIOLOGY

On control of the false discovery rate under no assumption of dependency

(2008) Wenge Guo et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

A Test for Partial Differential Expression

(2008) Wessel N van Wieringen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Hierarchical False Discovery Rate–Controlling Methodology

(2008) Daniel Yekutieli   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Comment: Microarrays, Empirical Bayes and the Two-Groups Model

(2008) Carl N. Morris   STATISTICAL SCIENCE

Microarrays, Empirical Bayes and the Two-Groups Model

(2008) Bradley Efron   STATISTICAL SCIENCE

Comments on: Control of the false discovery rate under dependence using the bootstrap and subsampling

(2008) Daniel Yekutieli   TEST

Comments on: Control of the false discovery rate under dependence using the bootstrap and subsampling

(2008) James F. Troendle   TEST

Control of the false discovery rate under dependence using the bootstrap and subsampling

(2008) Joseph P. Romano et al.   TEST

Two simple sufficient conditions for FDR control

(2008) Gilles Blanchard et al.   Electronic Journal of Statistics

Two-stage stepup procedures controlling FDR

(2007) Sanat K. Sarkar   JOURNAL OF STATISTICAL PLANNING AND INFERENCE