Multivariable Analysis

Multivariable Analysis: A Practical Guide for Clinicians [Paperback]

Author: Mitchell H. Katz | Language: English | ISBN: 052154985X | Format: PDF, EPUB

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Multivariable Analysis: A Practical Guide for Clinicians
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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.

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• Paperback: 220 pages
• Publisher: Cambridge University Press; 2 edition (February 20, 2006)
• Language: English
• ISBN-10: 052154985X
• ISBN-13: 978-0521549851
• Product Dimensions: 0.4 x 7.6 x 9.6 inches
• Shipping Weight: 1.1 pounds
• Amazon Best Sellers Rank: #1,229,892 in Books (See Top 100 in Books)

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!

By A Customer

Biostatistics books are notorious for overwhelming the reader with dense terminology and advanced equations. Unfortunately, this type of book leaves those with a less advanced understanding of statistics scratching their heads. Mitchell Katz's book finally offers an accessible road map for the non-biostatistician on how to carry out multivariable analysis. While the target audience is clinicians, I would recommend it for anyone with an interest in multivariable analysis. Mitchell Katz has succeeded in assembling a concise, easy to understand, step-by-step guide to statistical analysis. For this rare accomplishment, I applaud the author.

By A Customer

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