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  3. Multivariable Analysis
  • Cited by 278
      • 3rd edition
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    • Publisher:
      Cambridge University Press
      Publication date:
      01 April 2011
      10 March 2011
      ISBN:
      9780511974175
      9780521760980
      DOI:
      https://doi.org/10.1017/CBO9780511974175
      Dimensions:
      (246 x 189 mm)
      Weight & Pages:
      0.72kg, 250 Pages
      Dimensions:
      Weight & Pages:
      • Subjects:
      Epidemiology Public Health and Medical Statistics, Medicine
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    Subjects:
    Epidemiology Public Health and Medical Statistics, Medicine
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    Book description

    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.

    Reviews

    Reviews of the second edition:‘Katz provides a comprehensive review of multivariable analysis to illuminate an often confusing topic for clinicians, particularly clinician scientists. The chapter on the assumptions of multivariable analysis provides excellent examples and tips throughout.'

    Myra A. Kleinpeter Source: Journal of the National Medical Association

    'This book had an enthusiastic first outing, and certainly this second edition is worth the price for a good reference.'

    Source: Kentucky Medical Journal

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