Analysis of Correlated Data with SAS and R
eBook - ePub

Analysis of Correlated Data with SAS and R

  1. 497 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Analysis of Correlated Data with SAS and R

About this book

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods for the analysis of hierarchical binary, count and continuous response data. It explains how to use procedures in SAS and packages in R for exploring data, fitting appropriate models, presenting programming codes and results.

The book is designed for senior undergraduate and graduate students in the health sciences, epidemiology, statistics, and biostatistics as well as clinical researchers, and consulting statisticians who can apply the methods with their own data analyses. In each chapter a brief description of the foundations of statistical theory needed to understand the methods is given, thereafter the author illustrates the applicability of the techniques by providing sufficient number of examples.

The last three chapters of the 4th edition contain introductory material on propensity score analysis, meta-analysis and the treatment of missing data using SAS and R. These topics were not covered in previous editions. The main reason is that there is an increasing demand by clinical researchers to have these topics covered at a reasonably understandable level of complexity.

Mohamed Shoukri is principal scientist and professor of biostatistics at The National Biotechnology Center, King Faisal Specialist Hospital and Research Center and Al-Faisal University, Saudi Arabia. Professor Shoukri's research includes analytic epidemiology, analysis of hierarchical data, and clinical biostatistics. He is an associate editor of the 3Biotech journal, a Fellow of the Royal Statistical Society and an elected member of the International Statistical Institute.

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Yes, you can access Analysis of Correlated Data with SAS and R by Mohamed M. Shoukri in PDF and/or ePUB format, as well as other popular books in Matematica & Probabilità e statistica. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2018
Print ISBN
9780367734954
eBook ISBN
9781315277714
Edition
4
Topic
Matematica
Subtopic
Probabilità e statistica

Table of contents

  1. Cover
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Preface
  8. Chapter 1 Study Designs and Measures of Effect Size
  9. Chapter 2 Comparing Group Means When the Standard Assumptions Are Violated
  10. Chapter 3 Analyzing Clustered Data
  11. Chapter 4 Statistical Analysis of Cross-Classified Data
  12. Chapter 5 Modeling Binary Outcome Data
  13. Chapter 6 Analysis of Clustered Count Data
  14. Chapter 7 Repeated Measures and Longitudinal Data Analysis
  15. Chapter 8 Introduction to Time Series Analysis
  16. Chapter 9 Analysis of Survival Data
  17. Chapter 10 Introduction to Propensity Score Analysis
  18. Chapter 11 Introductory Meta-Analysis
  19. Chapter 12 Missing Data
  20. References
  21. Index