"The book introduces all the important topics that one would usually cover in a beginning graduate level class on Bayesian biostatistics. The careful introduction of the Bayesian viewpoint and the mechanics of implementing Bayesian inference in the early chapters makes it a complete self- contained introduction to Bayesian inference for biomedical problems Another great feature for using this book as a textbook is the inclusion of extensive problem sets going well beyond construed and simple problems. Many exercises consider real data and studies providing very useful examples in addition to serving as problems."