ABSTRACT

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

chapter 1|28 pages

Basic Probability and Bayes Theorem

chapter 5|18 pages

When Worlds Collide

chapter |28 pages

Developing Prior Probability

chapter |18 pages

Putting It All Together

chapter 9|20 pages

Bayesian Sample Size

chapter 10|20 pages

Predictive Power and Adaptive Procedures

chapter 11|22 pages

Is My Problem a Bayes Problem?

chapter 12|14 pages

Conclusions and Commentary

chapter |4 pages

Poisson-Gamma Processes

chapter |2 pages

Gamma-Gamma Compounding

chapter |2 pages

Standard Normal Distribution