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OverviewFull Product DetailsAuthor: Xinping Cui (Dept. of Statistics, U of California, USA) , Thorsten Dickhaus (U of Bremen, Institute for Statistics, Germany) , Ying Ding (University of Pittsburgh) , Jason C. Hsu (The Ohio State U, USA)Publisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 0.453kg ISBN: 9780367140670ISBN 10: 0367140675 Pages: 404 Publication Date: 18 November 2021 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. An Overview of Multiple Comparisons. 2. Multiple Test Procedures Based on p-Values. 3. Multivariate multiple test procedures. 4. Partitioning for Confidence Sets, Confident Directions, and Decision Paths. 5. Graphical approaches for multiple comparison procedures. 6. Decision Theoretic Considerations of Multiple Comparisons. 7 Identifying important predictors in large data bases - multiple testing and model selection. 8. Prevalence Estimation. 9. On agnostic post hoc approaches to false positive control. 10. Group sequential and adaptive designs. 11. Multiple testing for dose finding. 12. Multiple Endpoints. 13. Subgroups Analysis for Personalized and Precision Medicine Development. 14. Exploratory inference: localizing relevant effects with confidence. 15. Testing SNPs in Targeted Drug Development.ReviewsAuthor InformationXinping Cui is professor and chair of the Department of Statistics at the University of California, Riverside, USA. Her interdisciplinary research focuses on multiple testing, statistical genomics, precision medicine and system biology. Thorsten Dickhaus is full professor of Mathematical Statistics at the University of Bremen, Germany. He is a (co-) author of approx. 50 journal articles and four books. For more than 15 years, his research focuses on simultaneous statistical inference and multiple testing. Ying Ding is Associate Professor in the Department of Biostatistics at the University of Pittsburgh. Her research focuses on survival analysis, large-scale genomics and proteomics analysis, multiple testing, and precision medicine. Jason C. Hsu is an Emeritus Professor in Statistics at the Ohio State University. His research interests are in multiple comparison, logic-respecting estimands, and targeted therapies for personalized/precision medicine. Tab Content 6Author Website:Countries AvailableAll regions |