5th Edition

Analysis of Correlated Data with SAS and R, Fifth Edition

By Mohamed M. Shoukri Copyright 2027
560 Pages 38 B/W Illustrations
by Chapman & Hall

The fifth edition of  Analysis of Correlated Data with SAS and R  provides cutting-edge methodologies for analysing clustered and correlated data, incorporating new topics and advancements in statistical modelling and machine learning. This updated edition introduces five new topics, are: (1) simultaneous testing of equality of correlated means and variances. (2) Beta binomial regression model... Read more

Preface to the Fifth Edition Chapter 1: Study Designs and Measures of Effect Size Chapter 2: Comparing Group Means when the Standard Assumptions are Violated Chapter 3: Analyzing Clustered Data Chapter 4: Statistical Analysis of Cross Classified Data Chapter 5: Modelling Binary Outcome Data Chapter 6: Analysis of Clustered Count Data Chapter 7: Repeated Measures and Longitudinal Data Analysis Chapter 8: Introduction to Time Series Analysis Chapter 9: Analysis of Survival Data Chapter 10: Introduction to Propensity Score Analysis Chapter 11: Introductory Meta-Analysis Chapter 12: Missing Data Chapter 13: Statistics and Machine Learning: A brief introduction with examples References Index

Biography

Mohamed M. Shoukri is a retired Professor of Biostatistics who has taught mathematics, and biostatistics at five Canadian Universities (Simon Fraser University, University of British Columbia, University of Windsor, University of Guelph, and University of Western Ontario).