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 this Third Edition include: the introduction of R codes for almost all of the numerous examples solved with SAS; a chapter devoted to the modeling and analyzing of normally distributed variables under clustered sampling designs; a chapter on the analysis of correlated count data that focuses on over-dispersion; expansion of the analysis of repeated measures and longitudinal data when the response variables are normally distributed; sample size requirements relevant to the topic being discussed, such as when the data are correlated because the sampling units are physically clustered or because subjects are observed over time; exercises at the end of each chapter to enhance the understanding of the material covered; and, an accompanying CD-ROM that contains all the data sets in this book along with the SAS and R codes. Assuming a working knowledge of SAS and R, this text provides the necessary concepts and applications for analyzing clustered and correlated data.