Handbook of Multiple Comparisons (Paperback, 1)

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.