Bayesian Survival Analysis

Rating:
Summary: Wrong
Review: I write this review mainly because it seems that either the author(s) of the book or the publisher or their relatives are promoting this book by writing irresponsible reviews and giving non-sense 5-star ratings with the same review, for many times.

For cautious readers I suggest you read the first two reviews, which gave the book a rating for a valid reason.


Rating:
Summary: Bayesian survival analysis
Review: This is a great book on Bayesian survival analysis. It presents
a very comprehensive account of modern Bayesian methods in
survival analysis. The applications that are addressed in the
book are excellent and present major modeling and computational
challenges that would be impossible to implement in the
frequentist paradigm. The book has some outstanding chapters
on model selection, cure rate models, joint models for
longitudinal and survival data, and Bayesian methods for
clinical trials. This book would serve as a great textbook
for a Ph.D. level course in Bayesian survival analysis. The
book contains a number of useful and challenging exercises
and it contains a very exhaustive bibliography. I definitely
recommend this book.

Rating:
Summary: Bayesian survival analysis
Review: This is a very well written book and the first of its kind
on Bayesian survival analysis. The authors have a very keen
sense of the important issues and models in this area, and they
do a wonderful job of presenting the various topics. The book
discusses state-of-the-art methods for fitting Bayesian survival
models. The content on the power prior and its uses in survival
analysis was very exciting. The motivating examples in Chapter 1
were novel and very appealing. The authors have a great deal
of experience in this area and in the applications they present.
I definitely recommend buying this book. It serves as an
exceptional reference or textbook.

Rating:
Summary: A Great Book
Review: This is truly a marvelous book on Bayesian survival analysis.
The authors, who are true experts in the field, have written
a gem that covers modern Bayesian methods in survival analysis.
They have a nice blend between modeling, theory, and applications
that truly makes this book the first of its kind. It has some
very nicely written chapters on semiparametric models based on
prior processes and frailty models. The book is very extensive
in its coverage and has a very long bibliography. This book is
going to be a best seller for a long time.