Chapman and Hall/CRC
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
Preface. Introduction. Prologue. Basic Probability and Bayes Theorem. Compounding and the Law of Total Probability. Intermediate Compounding and Prior Distributions. Completing Your First Bayesian Computations. When Worlds Collide. Developing Prior Probability. Using Posterior Distributions: Loss and Risk. Putting It All Together. Bayesian Sample Size. Predictive Power and Adaptive Procedures. Is My Problem a Bayes Problem? Conclusions and Commentary. Appendices. Index.