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**Design and analysis of cross-over trials.
3rd ed.**
*(English)*
Zbl 1360.62008

Monographs on Statistics and Applied Probability 138. Boca Raton, FL: CRC Press (ISBN 978-1-4398-6142-4/hbk; 978-1-4398-6143-1/ebook). xxvi, 412 p. (2015).

It is heartening to see the third edition of this eminently written book by two leading authorities in this field. That the book, originally published in 1989 [Zbl 0729.62068], has now after the 2nd edition in 2003 [Zbl 1103.62108] run into its third edition amply testifies to its popularity. It is divided into fourteen chapters:

Chapter 1: Introduction; Chapter 2: The \(2\times 2\) cross-over trial; Chapter 3: Higher-order designs for two treatments; Chapter 4: Designing cross-over trials; Chapter 5: Analysis of continuous data; Chapter 6: Analysis of discrete data; Chapter 7: Bioequivalence trials; Chapters 8–14: Case studies.

The new features of this edition include chapters on short case studies, the use of the R package Crossover, updates regarding the use of period baselines and the analysis of data from very small trials, and new procedures in SAS. All these will certainly endear the book to its readers. The presentation has throughout been lucid and well-organized, and this will be greatly benefit both theoreticians and practitioners across disciplines. The comprehensive and up-to-date list of references will enhance the value of the book. Like the two previous editions, the third edition of this masterpiece will definitely be a welcome addition to the bookshelf of any serious reader in this area.

Chapter 1: Introduction; Chapter 2: The \(2\times 2\) cross-over trial; Chapter 3: Higher-order designs for two treatments; Chapter 4: Designing cross-over trials; Chapter 5: Analysis of continuous data; Chapter 6: Analysis of discrete data; Chapter 7: Bioequivalence trials; Chapters 8–14: Case studies.

The new features of this edition include chapters on short case studies, the use of the R package Crossover, updates regarding the use of period baselines and the analysis of data from very small trials, and new procedures in SAS. All these will certainly endear the book to its readers. The presentation has throughout been lucid and well-organized, and this will be greatly benefit both theoreticians and practitioners across disciplines. The comprehensive and up-to-date list of references will enhance the value of the book. Like the two previous editions, the third edition of this masterpiece will definitely be a welcome addition to the bookshelf of any serious reader in this area.

Reviewer: Rahul Mukerjee (Kolkata)