1. Analyzing clustered data -- 2. Analysis of cross-classified data -- 3. Modeling binary outcome data -- 4. Analysis of clustered count data -- 5. Analysis of time series -- 6. Repeated measures and longitudinal data analysis -- 7. Survival data analysis
Summary
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 EditionThe introduction of R codes for almost all of the numerous examples solved with SASA chapter devoted to the modeling and analyzing of
