- 400 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Elementary Bayesian Biostatistics
About this book
Bayesian analyses have made important inroads in modern clinical research due, in part, to the incorporation of the traditional tools of noninformative priors as well as the modern innovations of adaptive randomization and predictive power. Presenting an introductory perspective to modern Bayesian procedures, Elementary Bayesian Biostatistics explo
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Yes, you can access Elementary Bayesian Biostatistics by Lemuel A. Moyé,Lemuel A. Moye in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Dedication
- Contents
- Preface
- Acknowledgments
- Introduction
- Prologue Opening Salvos
- 1. Basic Probability and Bayes Theorem
- 2. Compounding and the Law of Total Probability
- 3. Intermediate Compounding and Prior Distributions
- 4. Completing Your First Bayesian Computations
- 5. When Worlds Collide
- 6. Developing Prior Probability
- 7. Using Posterior Distributions: Loss and Risk
- 8. Putting it All Together
- 9. Bayesian Sample Size
- 10. Predictive Power and Adaptive Procedures
- 11. Is my Problem a Bayes Problem?
- 12. Conclusions and Commentary
- Appendices
- Index