Praise for Bayesian Thinking in Biostatistics:
"This thoroughly modern Bayesian book -is a ''must have'' as a textbook or a reference volume. Rosner, Laud and Johnson make the case for Bayesian approaches by melding clear exposition on methodology with serious attention to a broad array of illuminating applications. These are activated by excellent coverage of computing methods and provision of code. Their content on model assessment, robustness, data-analytic approaches and predictive assessments-are essential to valid practice. The numerous exercises and professional advice make the book ideal as a text for an intermediate-level course-"
-Thomas Louis, Johns Hopkins University
"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
