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OverviewThis book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. These are applied to a range of problems in biomedical and genomic research, including identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments; tests of association between gene expression measures and biological annotation metadata; sequence analysis; and genetic mapping of complex traits using single nucleotide polymorphisms. The procedures are based on a test statistics joint null distribution and provide Type I error control in testing problems involving general data generating distributions, null hypotheses, and test statistics. Full Product DetailsAuthor: Sandrine Dudoit , Mark J. van der LaanPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 2008 ed. Dimensions: Width: 15.60cm , Height: 3.30cm , Length: 23.40cm Weight: 1.100kg ISBN: 9780387493169ISBN 10: 0387493166 Pages: 590 Publication Date: 19 December 2007 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Awaiting stock The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you. Table of ContentsReviewsFrom the reviews: This book summarizes the recent work of Sandrine Dudoit and Mark van der Laan on multiple testing. It proposes a general framework for multiple testing procedures (MTPs) and introduces new concepts ... . The authors also provide code for reproducing the results of some of the applications. ... if one is looking for a detailed summary of the latest developments in multiple testing regarding MTPs or in the application of MTPs to biomedical and genomic data, then this book is an excellent reference. (Holger Schwender, Statistical Papers, Vol. 50, 2009) In the last decade a growing amount of statistical research has been devoted to multiple testing. This book summarizes the recent work on this area. ... very useful for the applied researcher who would like to understand how to apply multiple testing. ... a good reference for statisticians interested in a general treatment of multiple testing. (Avner Bar-Hen, Mathematical Reviews, Issue 2009 j) From the reviews: This book summarizes the recent work of Sandrine Dudoit and Mark van der Laan on multiple testing. It proposes a general framework for multiple testing procedures (MTPs) and introduces new concepts ! . The authors also provide code for reproducing the results of some of the applications. ! if one is looking for a detailed summary of the latest developments in multiple testing regarding MTPs or in the application of MTPs to biomedical and genomic data, then this book is an excellent reference. (Holger Schwender, Statistical Papers, Vol. 50, 2009) In the last decade a growing amount of statistical research has been devoted to multiple testing. This book summarizes the recent work on this area. ! very useful for the applied researcher who would like to understand how to apply multiple testing. ! a good reference for statisticians interested in a general treatment of multiple testing. (Avner Bar-Hen, Mathematical Reviews, Issue 2009 j) From the reviews: This book summarizes the recent work of Sandrine Dudoit and Mark van der Laan on multiple testing. It proposes a general framework for multiple testing procedures (MTPs) and introduces new concepts ... . The authors also provide code for reproducing the results of some of the applications. ... if one is looking for a detailed summary of the latest developments in multiple testing regarding MTPs or in the application of MTPs to biomedical and genomic data, then this book is an excellent reference. (Holger Schwender, Statistical Papers, Vol. 50, 2009) In the last decade a growing amount of statistical research has been devoted to multiple testing. This book summarizes the recent work on this area. ... very useful for the applied researcher who would like to understand how to apply multiple testing. ... a good reference for statisticians interested in a general treatment of multiple testing. (Avner Bar-Hen, Mathematical Reviews, Issue 2009 j) From the reviews: This book summarizes the recent work of Sandrine Dudoit and Mark van der Laan on multiple testing. It proposes a general framework for multiple testing procedures (MTPs) and introduces new concepts ... . The authors also provide code for reproducing the results of some of the applications. ... if one is looking for a detailed summary of the latest developments in multiple testing regarding MTPs or in the application of MTPs to biomedical and genomic data, then this book is an excellent reference. (Holger Schwender, Statistical Papers, Vol. 50, 2009) In the last decade a growing amount of statistical research has been devoted to multiple testing. This book summarizes the recent work on this area. ... very useful for the applied researcher who would like to understand how to apply multiple testing. ... a good reference for statisticians interested in a general treatment of multiple testing. (Avner Bar-Hen, Mathematical Reviews, Issue 2009 j) Author InformationTab Content 6Author Website:Countries AvailableAll regions |