Monday, December 9, 2013

Multivariable Analysis


Multivariable Analysis [Kindle Edition]

Author: Katz | Language: English | ISBN: B0054NUBA2 | Format: PDF, EPUB

Multivariable Analysis
Download for free books Multivariable Analysis from with Mediafire Link Download Link Now in its third edition, this highly successful text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before, it focuses on easy-to-follow explanations of complicated multivariable techniques. It is the perfect introduction for all clinical researchers. It describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research, and prepares the reader to set up, perform and interpret multivariable models. Numerous tables, graphs and tips help to demystify the process of performing multivariable analysis. The text is illustrated with many up-to-date examples from the medical literature on how to use multivariable analysis in clinical practice and in research. Direct download links available for Multivariable Analysis [Kindle Edition]
  • File Size: 1669 KB
  • Print Length: 250 pages
  • Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
  • Publisher: Cambridge University Press; 3 edition (May 4, 2011)
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B0054NUBA2
  • Text-to-Speech: Enabled
  • X-Ray:
    Not Enabled
  • Lending: Not Enabled
  • Amazon Best Sellers Rank: #624,600 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Very well written book. Made a subject like multivariate analysis easily comprehensible. Highly recommend to anyone in the health sciences field needing to learn about multivariate analysis.
By Jiasong
easy read and I can finally understand the topic! This is a must read for clinicians and any investigator doing clinical research.
By Danieli

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