Michael P. Fay, Erica H. Brittain

Statistical Hypothesis Testing in Context: Volume 52

Reproducibility, Inference, and Science

• Gebundenes Buch

Produktbeschreibung

With over 60 years of applied experience, Fay and Brittain present hypothesis testing and compatible confidence intervals, emphasize strategies to address the reproducibility crisis, and provide methods for proper causal interpretation in scientific research. The book presents a full scope of tools and advice on their appropriate use in practice.

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Produktdetails

• Cambridge Series in Statistical and Probabilistic Mathematics
• Verlag: Cambridge University Press
• Seitenzahl: 448
• Erscheinungstermin: 5. Mai 2022
• Englisch
• Abmessung: 256mm x 179mm x 31mm
• Gewicht: 990g
• ISBN-13: 9781108423564
• ISBN-10: 1108423566
• Artikelnr.: 62921660

Autorenporträt

Michael P. Fay is a Mathematical Statistician at the National Institute of Allergy and Infectious Diseases, and previously worked at the National Cancer Institute. He has served as associate editor for Biometrics, and is currently an associate editor for Clinical Trials and a Fellow of the American Statistical Association. He is a co-author on over 100 papers in statistical and medical journals and has written and maintains over a dozen R packages on CRAN.

Inhaltsangabe

1. Introduction
2. Theory of tests, p-values, and confidence intervals
3. From scientific theory to statistical hypothesis test
4. One sample studies with binary responses
5. One sample studies with ordinal or numeric responses
6. Paired data
7. Two sample studies with binary responses
8. Assumptions and hypothesis tests
9. Two sample studies with ordinal or numeric responses
10. General methods for creating decision rules
11. K-Sample studies and trend tests
12. Clustering and stratification
13. Multiplicity in testing
14. Testing from models
15. Causality
16. Censoring
17. Missing data
18. Group sequential and related adaptive methods
19. Testing fit, equivalence, and non-inferiority
20. Power and sample size.