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Rating: 
Summary: An easy understanding of multivariate analysis!
Review: I have to say I'm really impressed by this book. Its problem-based,user-friendly approach is a stand-out among all other statistic textbooks. The author did an excellent job in explaining the difficult concept of multivariable analysis using easy-to-read English and no jagons. Highly recommended for all.
Rating: 
Summary: Poor organization: But Brief and Well Written
Review: I used this book for a class last year. I found the organization quite horrible. There are 3 main multivariate models that he discusses in the book: Multiple regression, logistic regression and Cox proportional hazards. He ignores ANCOVA, ANOVA and multi-level frequency table (chi-square) methods.Instead of writing about the 3 main multivariate models above individually he sporadically switches between all 3 models. The TOC is organized as a series of questions and answers. I would have preferred he wrote about each of the 3 topics separately. Although finding the information you want is difficult, the book is written superbly. He makes it easy to understand difficult concepts such as interactions, model building, collinearity and testing of assumptions. You don't need a math background to understand this book. Aside from the organization of the contents, I loved this book! I would recommend for clinicians who are interested in learning about how multivariate models are created. If you review a lot of manuscripts in medical literature, this is a must read.
Rating:
Summary: An easy understanding of multivariate analysis!
Review: Straightforward approach to the concepts of multivariate analysis (MA) in medicine. If you don't know anything about MA and wanna understand it in a easy and fast way, this is the book. Katz also helps you to perform your own analysis. However, it's important to point out that a solid basis on statistical methods are needed for choosing the best method in a particular situation. The Cox model is not the solution for all problems!!! No strong math background is needed. This is a book of concepts and not of techniques. At least I can guarantee you'll understand the multivariate analysis published in NEJM and will find out about how common multivariate analyses are inappropriately used in medical journals. A big plus that every physician must read!
Rating:
Summary: It' a real pleasure!
Review: This is one of the best books I have ever read about biostatistics. It takes you further -from the usually well known table statistics to the model statistics using a step by step approach. Without covering the overall field, it tries to fortell readers' questions and answers them in the most explicit way. It's a book to understand what is going on around journals and makes your steps easier once you decide to try your way to dive in your numbers.
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