Handbook of Multiple Comparisons - Info and Reading Options
By Xinping Cui, Thorsten Dickhaus, Ying Ding and Jason C. Hsu
"Handbook of Multiple Comparisons" was published by Taylor & Francis Group in 2021 - Boca Raton London New York, it has 540 pages and the language of the book is English.
“Handbook of Multiple Comparisons” Metadata:
- Title: ➤ Handbook of Multiple Comparisons
- Authors: Xinping CuiThorsten DickhausYing DingJason C. Hsu
- Language: English
- Number of Pages: 540
- Publisher: Taylor & Francis Group
- Publish Date: 2021
- Publish Location: Boca Raton London New York
“Handbook of Multiple Comparisons” Subjects and Themes:
- Subjects: ➤ Multiple comparisons (Statistics) - Corrélation multiple (Statistique) - MATHEMATICS / Probability & Statistics / General - MEDICAL / Biostatistics - REFERENCE / General
Edition Identifiers:
- The Open Library ID: OL33930379M - OL25330093W
- Online Computer Library Center (OCLC) ID: 1262678570
- Library of Congress Control Number (LCCN): 2021020344
- ISBN-13: 9780429030888
- All ISBNs: 9780429030888
AI-generated Review of “Handbook of Multiple Comparisons”:
"Handbook of Multiple Comparisons" Description:
Open Data:
Chapter 1. An Overview of Multiple Comparisons Xinping Cui, Thorsten Dickhaus, Ying Ding, and Jason C. HsuChapter 2. Multiple Test Procedures Based on p-ValuesAjit C. Tamhane and Jiangtao GouChapter 3. Multivariate multiple test proceduresThorsten Dickhaus, Andre Neumann, and Taras BodnarChapter 4. Partitioning for Confidence Sets, Confident Directions, and Decision PathsHelmut Finner, Szu-Yu Tang, Xinping Cui, and Jason C. HsuChapter 5. Graphical approaches for multiple comparison proceduresDong Xi and Frank BretzChapter 6. Decision Theoretic Considerations of Multiple ComparisonsArthur Cohen and Harold SackrowitzChapter 7. Identifying important predictors in large data bases - multiple testing and model selectionMalgorzata Bogdan and Florian FrommletChapter 8. Prevalence EstimationJonathan D. RosenblattChapter 9. On agnostic post hoc approaches to false positive controlGiles Blanchard, Pierre Neuvial, and Etienne RoquainChapter 10. Group sequential and adaptive designsEkkehard Glimm and Lisa V. HampsonChapter 11. Multiple testing for dose findingFrank Bretz, Dong Xi, and Björn BornkampChapter 12. Multiple EndpointsBushi WangChapter 13. Subgroups Analysis for Personalized and Precision Medicine DevelopmentYi Liu, Hong Tian and Jason C. HsuChapter 14. Exploratory inference: localizing relevant effects with confidenceAldo Solari and Jelle J. GoemanChapter 15. Testing SNPs in Targeted Drug DevelopmentYing Ding, Yue Wei, Xinjun Wang, and Jason C. Hsu
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