MORE ABOUT THIS BOOK
Main description:
Coherent treatment of a variety of approaches to multiple comparisons
Broad coverage of topics, with contributions by internationally leading experts
Detailed treatment of applications in medicine and life sciences
Suitable for researchers, lecturers / students, and practitioners
Contents:
1. 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.
PRODUCT DETAILS
Publisher: Taylor & Francis (CRC Press)
Publication date: November, 2021
Pages: 540
Weight: 930g
Availability: Available
Subcategories: Epidemiology, General Issues