Analysis of Correlated Data with SAS and R

Mohamed M. Shoukri

ISBN 10: 1138197459 / ISBN 13: 9781138197459

Published by Taylor & Francis Ltd Apr 2018, 2018

About this Item

Neuware - Previous edition: Analysis of correlated data with SAS and R / Mohamed M. Shoukri (Boca Raton: Chapman & Hall/CRC, 2007).

Seller Inventory # 9781138197459

Bibliographic Details

• Title: Analysis of Correlated Data with SAS and R
• Publisher: Taylor & Francis Ltd Apr 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 1138197459
• ISBN 13: 9781138197459
• Binding: Buch
• Edition: 4th Edition
• Condition: Neu
• Dimensions: 240W x 161H x 36D millimeters 240 millimeters width by 161 millimeters height by 36 millimeters depth
• Weight: 892 grams

About this title

Synopsis

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.

About the Author

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.