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Multivariable Analysis : A Practical Guide for Clinicians

Multivariable Analysis : A Practical Guide for Clinicians

Multivariable Analysis : A Practical Guide for Clinicians Paperback - 1999

by Mitchell H. Katz

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Cambridge University Press, 1999. Paperback. Very Good. Disclaimer:A copy that has been read, but remains in excellent condition. Pages are intact and are not marred by notes or highlighting, but may contain a neat previous owner name. The spine remains undamaged. At ThriftBooks, our motto is: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Details

  • Title Multivariable Analysis : A Practical Guide for Clinicians
  • Author Mitchell H. Katz
  • Binding Paperback
  • Condition Used - Very good
  • Pages 208
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, West Nyack
  • Publication date 1999
  • Illustrated Yes
  • Bookseller's Inventory # G0521596939I4N00
  • ISBN 9780521596930 / 0521596939
  • Weight 0.75 lbs (0.34 kg)
  • Dimensions 9.13 x 6.89 x 0.34 in (23.19 x 17.50 x 0.86 cm)
  • Category Medical / Nursing
  • Library of Congress subjects Multivariate analysis, Medical statistics
  • Library of Congress Catalogue Number 98-39350
  • Dewey Decimal Code 610.727
  • Quantity available 1

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Reader reviews for Multivariable Analysis : A Practical Guide for Clinicians

From the publisher

Multivariable analysis is a challenging subject for clinicians, whether they are novice researchers or trained practitioners. Most basic biostatistics books do not cover multivariable analysis, while existing multivariable analysis books are dense with mathematical formulas. Multivariable Analysis: A Practical Guide for Clinicians steps aside from mathematics and offers conceptual explanations. Dr. Mitchell Katz follows a nonthreatening, question-and-answer approach to explain how to perform and interpret multivariable analyses. He begins by explaining why clinicians should do multivariable analyses and then guides the reader through topics such as how to choose which type of multivariable method to perform, how to deal with missing data, and how to validate multivariable models. The book is loaded with useful tips, tables, figures, and references. Examples from the medical literature demonstrate several real-world applications and uses of multivariable analysis. This book will prove to be an indispensable guide for medical students, residents, and practicing physicians.
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