Product Description
This new edition has been fully revised to build on the enormous success of its popular predecessor. It now includes new features introduced by readers' requests including a new chapter on propensity score, more detail on clustered data and Poisson regression and a new section on analysis of variance. As before it describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It prepares the reader to perform and interpret multivariable models. Numerous tables, graphs and tips help to simplify and explain the process of performing multivariable analysis.

CUSTOMER REVIEWS (Average Customer Rating: 4.5 based on 6 reviews)

Journal of the Kentucky Medical Association

From the start I felt intimidated by the title and even with the mitigating suggestion that this would be practical, a guide, and for the clinician, the challenge was there. Throughout our training, in textbooks and journals, and in many lectures, we have to analyze the information put in front of us. Our background in basic statistics is typically primitive, and certainly could use some help in understanding what we read. This very readable and even interesting 200 plus page book really fills that need. With an introduction as much seductive as informative, Dr. Katz makes his way through his early chapters discussing common uses, outcome variables, types of regression and other basic definitions. He uses the question and answer format which lends itself to learning the information in a building block manner. He constructs the book with numerous examples, handy tables and graphs and very helpful side boxes filled with pithy hints for making progress through the book. Each chapter has a built in summary and completes the questions asked. The index is complete and very pointed, making the reader able to use the book not only to learn the subject, but to refer back to previous reading. This book had an enthusiastic first outing, and certainly this second edition is worth the price for a good reference. Journal of the Kentucky Medical Association, Vol 104 (8), 2006, p.395
August 21, 2006

Poor organization: But Brief and Well Written

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.
September 05, 2002

It' a real pleasure!

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.
February 14, 2002

An easy understanding of multivariate analysis!

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!
November 22, 2000

Finally,an user-friendly statistic book

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.
June 29, 2000

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