01825aam a2200169 4500008004500000020001800045082001600063100002400079245004700103250000800150260005000158300002600208520133400234650003901568650002801607650002001635190509b 2018 ||||| |||| 00| 0 eng d a9781138197459 a614.4bS4A6 aShoukri, Mohamed M. aAnalysis of correlated data with SAS and R a4th bChapman and Hall/ CRC Pressc2018aBoca Raton axv, 497p.bWith index aAnalysis 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.
https://www.crcpress.com/Analysis-of-Correlated-Data-with-SAS-and-R/Shoukri/p/book/9781138197459 aEpidemiology - Statistical methods aMathematical statistics aData processing