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Analysis of Correlated Data with SAS and R Third Edition by Mohamed Shoukri, Mohammad Chaudhary 9781420011258 1420011251

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Analysis of Correlated Data with SAS and R Third Edition Shoukri Digital Instant Download

Author(s): Shoukri, Mohamed M.
ISBN(s): 9781420011258, 1420011251
File Details: PDF, 1.74 MB
Year: 2014
Language: english
SKU: EB-43168656 Category: Tags: ,

Analysis of Correlated Data with SAS and R Third Edition by Mohamed Shoukri, Mohammad Chaudhary – Ebook PDF Instant Download/Delivery:9781420011258, 1420011251
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Product details:

ISBN 10: 1420011251
ISBN 13: 9781420011258 
Author: Mohamed M. Shoukri, Mohammad A. Chaudhary

Previously known as Statistical Methods for Health Sciences, this bestselling resource is one of the first books to discuss the methodologies used for the analysis of clustered and correlated data. While the fundamental objectives of its predecessors remain the same, Analysis of Correlated Data with SAS and R, Third Edition incorporates several additions that take into account recent developments in the field.

New to the Third Edition

  • The introduction of R codes for almost all of the numerous examples solved with SAS
  • A chapter devoted to the modeling and analyzing of normally distributed variables under clustered sampling designs
  • A chapter on the analysis of correlated count data that focuses on over-dispersion
  • Expansion of the analysis of repeated measures and longitudinal data when the response variables are normally distributed
  • Sample size requirements relevant to the topic being discussed, such as when the data are correlated because the sampling units are physically clustered or because subjects are observed over time
  • Exercises at the end of each chapter to enhance the understanding of the material covered
  • An accompanying CD-ROM that contains all the data sets in the book along with the SAS and R codes

    Assuming a working knowledge of SAS and R, this text provides the necessary concepts and applications for analyzing clustered and correlated data.

Analysis of Correlated Data with SAS and R Third Table of contents:

Chapter 1: Analyzing Clustered Data (32 pages)

Chapter 2: Analysis of Cross-Classified Data (50 pages)

Chapter 3: Modeling Binary Outcome Data (50 pages)

Chapter 4: Analysis of Clustered Count Data (26 pages)

Chapter 5: Analysis of Time Series (48 pages)

Chapter 6: Repeated Measures and Longitudinal Data Analysis (36 pages)

Chapter 7: Survival Data Analysis (40 pages)

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Tags: Mohamed Shoukri, Mohammad Chaudhary, Analysis