Multiple Testing Procedures with Applications to Genomics
This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. The methods are applied to a range of testing problems in biomedical and genomic research, i
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Springer Series in Statistics Alho/Spencer: Statistical Demography and Forecasting Andersen/Borgan/Gill/Keiding: Statistical Models Based on Counting Processes Atkinson/Riani: Robust Diagnostic Regression Analysis Atkinson/Riani/Ceriloi: Exploring Multivariate Data with the Forward Search Berger: Statistical Decision Theory and Bayesian Analysis, 2nd edition Borg/Groenen: Modern Multidimensional Scaling: Theory and Applications, 2nd edition Brockwell/Davis: Time Series: Theory and Methods, 2nd edition Bucklew: Introduction to Rare Event Simulation Capp´ e/Moulines/Ryd´ en: Inference in Hidden Markov Models Chan/Tong: Chaos: A Statistical Perspective Chen/Shao/Ibrahim: Monte Carlo Methods in Bayesian Computation Coles: An Introduction to Statistical Modeling of Extreme Values Devroye/Lugosi: Combinatorial Methods in Density Estimation Diggle/Ribeiro: Model-based Geostatistics Dudoit/van der Laan: Multiple Testing Procedures with Applications to Genomics Efromovich: Nonparametric Curve Estimation: Methods, Theory, and Applications Eggermont/LaRiccia: Maximum Penalized Likelihood Estimation, Volume I: Density Estimation Fahrmeir/Tutz: Multivariate Statistical Modeling Based on Generalized Linear Models, 2nd edition Fan/Yao: Nonlinear Time Series: Nonparametric and Parametric Methods Ferraty/Vieu: Nonparametric Functional Data Analysis: Theory and Practice Ferreira/Lee: Multiscale Modeling: A Bayesian Perspective Fienberg/Hoaglin: Selected Papers of Frederick Mosteller Fr¨ uhwirth-Schnatter: Finite Mixture and Markov Switching Models Ghosh/Ramamoorthi: Bayesian Nonparametrics Glaz/Naus/Wallenstein: Scan Statistics Good: Permutation Tests: Parametric and Bootstrap Tests of Hypotheses, 3rd edition Gouri´ eroux: ARCH Models and Financial Applications Gu: Smoothing Spline ANOVA Models Gy¨ ofi/Kohler/Krzy´zak/Walk: A Distribution-Free Theory of Nonparametric Regression Haberman: Advanced Statistics, Volume I: Description of Populations Hall: The Bootstrap and Edgeworth Expansion H¨ ardle: Smoothing Techniques: With Implementation in S Harrell: Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis Hart: Nonparametric Smoothing and Lack-of-Fit Tests Hastie/Tibshirani/Friedman: The Elements of Statistical Learning: Data Mining, Inference, and Prediction Hedayat/Sloane/Stufken: Orthogonal Arrays: Theory and Applications Heyde: Quasi-Likelihood and its Application: A General Approach to Optimal Parameter Estimation Huet/Bouvier/Poursat/Jolivet: Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS and R Examples, 2nd edition Ibrahim/Chen/Sinha: Bayesian Survival Analysis Jiang: Linear and Generalized Linear Mixed Models and Their Applications Jolliffe: Principal Component Analysis, 2nd edition (continued on p. 589)
Sandrine Dudoit Mark J. van der Laan
Multiple Testing Procedures with Applications to Genomics With 61 illustrations
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Sandrine Dudoit Division of Biostatistics and Department of Statistics University of California, Berkeley 101 Havila
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