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**Analysis of correlated data with SAS and R.
4th edition.**
*(English)*
Zbl 1414.62003

Boca Raton, FL: CRC Press (ISBN 978-1-138-19745-9/hbk; 978-1-315-27772-1/ebook). xv, 497 p. (2018).

Publisher’s description: This book 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.

For the third and second editions, see [Zbl 1198.62164] and [Zbl 0932.62114], respectively.

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.

For the third and second editions, see [Zbl 1198.62164] and [Zbl 0932.62114], respectively.

### MSC:

62-01 | Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics |

62P10 | Applications of statistics to biology and medical sciences; meta analysis |

62P99 | Applications of statistics |

92C50 | Medical applications (general) |

62-04 | Software, source code, etc. for problems pertaining to statistics |