Subjective and Objective Bayesian Statistics: Principles, Models, and Applications

subsections containing just one paragraph without detailed context. These make it hard to see the flow of the presentation of the materials. Some chapter introductions are too lengthy and advanced for beginners, with some materials discussed too early in the introductions. Therefore, readers who know more about the topic are likely to understand better than those who know less, which attenuates the book’s function to inform those who know less. The disorganization may stem from the book’s origin as a set of teaching notes. Occasionally, one wishes that the instructor were around to answer questions about ambiguous notations or possible typographical errors. The extensive use of cross-references links the different parts of the book together, but also interrupts the reading continuity. It is inconvenient to have to flip to equations or sections in a distant chapter to understand the meaning of a sentence. It also reduces the independence of individual sections and chapters and makes it difficult to read them separately. Some SAS code is listed in the text, but it would be nicer if it were in a different font than that used for the body of the text. The data examples used in the book are not available electronically, which is rather unusual for a recently published book. Overall, I feel that Analysis of Multivariate Survival Data is a valuable resource despite its presentation weaknesses. It will serve as a good reference on multivariate survival analysis in years to come.