Analysis of Correlated Data with SAS and R, Third Edition
Mohamed M. Shoukri, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia; Cheryl Cihon, Bayer Healthcare, Pharmaceuticals, West Haven, Connecticut,
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Price:  Sorry, not available in your region
Cat. #:  1095
ISBN:  9780849310959
ISBN 10:  0849310954
Publication Date:  December 16, 1998
Number of Pages:  400

Binding(s):  Hardback | Available in e-book!

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Description
Table of Contents
Reviews
Features
  • The coefficient of variation as a measure of reproducibility and comparison of two dependent reliability coefficients
  • Testing for trend using Cochran-Armitage chi-square, under cluster randomization
  • Application of the PROC GENMOD in SAS, which implements the GEE approach
  • Multi-level analysis of clustered binary data, using Schall's algorithm and GLIMMIX SAS macro
  • Modeling seasonal time series, one method using combination of polynomials to describe the trend component and trigonometric functions to describe seasonality, and another method using the more sophisticated ARIMA models
  • Analysis of repeated measures experiment using PROC MIXED in SAS
  • Survival analysis, including a brief discussion on analysis of correlated survival data

  • Summary
    Building upon material presented in the first edition, Statistical Methods for Health Sciences, Second Edition continues to address the analytical issues related to the modeling and analysis of cluster data, both physical clustering-sampling of communities, families, or herds-and overtime clustering-longitudinal, repeated measures, or time series data. All examples in this new edition are solved using the SAS package, and all SAS programs are provided for understanding material presented. Numerous medical examples make this text especially suitable for applied health scientists and epidemiologists.