Completely revised and updated, the second edition of this classic text retains its predecessor's careful balance of theory and practice while incorporating new approaches, more data sets, and a broader scope. Enhancements in this edition include a new chapter on bioequivalence, methods for analyzing longitudinal continuous and categorical data, extensive real-life examples, and SAS code that allows readers to implement the analyses described. With downloadable SAS programs, thorough treatment of design issues, and a comprehensive catalog of designs, this edition sets a new standard for texts in this area and will undoubtedly be of direct practical value for years to come.

Design and Analysis of Cross-Over Trials (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Science & Math

Jones, Byron

Kenward, Michael G.

Mathematics

Chapman and Hall/CRC

The first edition of Design and Analysis of Cross-Over Trials quickly became the standard reference on the subject and has remained so for more than 12 years. In that time, however, the use of cross-over trials has grown rapidly, particularly in the pharmaceutical arena, and researchers have made a number of advances in both the theory and methods applicable to these trials. Completely revised and updated, the long-awaited second edition of this classic text retains its predecessor's careful balance of theory and practice while incorporating new approaches, more data sets, and a broader scope. Enhancements in the second edition include: <ul>
<li>A new chapter on bioequivalence</li> <li>Recently developed methods for analyzing longitudinal continuous and categorical data</li> <li>Real-world examples using the SAS system</li> <li>A comprehensive catalog of designs, datasets, and SAS programs available on a companion Web site at www.crcpress.com</li> </ul> The authors' exposition gives a clear, unified account of the design and analysis of cross-over trials from a statistical perspective along with their methodological underpinnings. With SAS programs and a thorough treatment of design issues, Design and Analysis of Cross-Over Trials, Second Edition sets a new standard for texts in this area and undoubtedly will be of direct practical value for years to come.

Biological Sciences

Design and Analysis of Cross-Over Trials (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

The most up-to-date edition of a bestselling guide to analyzing partially observed data In this comprehensively revised Second Edition of Multiple Imputation and its Application, a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings. With an accessible and carefully structured presentation aimed at quantitative researchers, Multiple Imputation and its Application is illustrated with a range of examples and offers key mathematical details. The book includes a wide range of theoretical and computer-based exercises, tested in the classroom, which are especially useful for users of R or Stata. Readers will find: <ul> <li>A comprehensive overview of one of the most effective and popular methodologies for dealing with incomplete data sets</li> <li>Careful discussion of key concepts</li> <li>A range of examples illustrating the key ideas</li> <li>Practical advice on using multiple imputation</li> <li>Exercises and examples designed for use in the classroom and/or private study</li> </ul> Written for applied researchers looking to use multiple imputation with confidence, and for methods researchers seeking an accessible overview of the topic, Multiple Imputation and its Application will also earn a place in the libraries of graduate students undertaking quantitative analyses.

Multiple Imputation and its Application (Statistics in Practice)

Carpenter, James R.

Quartagno, Matteo

Bartlett, Jonathan W.

Morris, Tim P.

Wood, Angela M.

wiley

Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary science, psychology, sports science, and agriculture. The first edition of this book was the first to be wholly devoted to the subject. The second edition was revised to mirror growth and development in areas where the design remained in widespread use and new areas where it had grown in importance. This new Third Edition: <ul>
<li>Contains seven new chapters written in the form of short case studies that address re-estimating sample size when testing for average bioequivalence, fitting a nonlinear dose response function, estimating a dose to take forward from phase two to phase three, establishing proof of concept, and recalculating the sample size using conditional power</li> <li>Employs the R package Crossover, speciallycreated to accompany the book and provide a graphical user interface for locating designs in a large catalog and for searching for new designs</li> <li>Includes updates regarding the use of period baselines and the analysis of data from very small trials</li> <li>Reflects the availability of new procedures in SAS, particularly proc glimmix </li> <li>Presents the SAS procedure proc mcmc as an alternative to WinBUGS for Bayesian analysis</li> </ul>
Complete with real data and downloadable SAS code, Design and Analysis of Cross-Over Trials, Third Edition provides a practical understanding of the latest methods along with the necessary tools for implementation.

Routledge

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