Crossover Designs: Testing, Estimation, and Sample Size Contributor(s): Lui, Kung-Jong (Author) |
|
![]() |
ISBN: 1119114683 ISBN-13: 9781119114680 Publisher: Wiley OUR PRICE: $112.05 Product Type: Hardcover - Other Formats Published: September 2016 |
Additional Information |
BISAC Categories: - Medical | Research - Medical | Clinical Medicine |
Dewey: 610.727 |
LCCN: 2016012478 |
Series: Statistics in Practice |
Physical Information: 0.7" H x 6" W x 9.1" (0.95 lbs) 248 pages |
Descriptions, Reviews, Etc. |
Publisher Description: A comprehensive and practical resource for analyses of crossover designs For ethical reasons, it is vital to keep the number of patients in a clinical trial as low as possible. As evidenced by extensive research publications, crossover design can be a useful and powerful tool to reduce the number of patients needed for a parallel group design in studying treatments for non-curable chronic diseases. This book introduces commonly-used and well-established statistical tests and estimators in epidemiology that can easily be applied to hypothesis testing and estimation of the relative treatment effect for various types of data scale in crossover designs. Models with distribution-free random effects are assumed and hence most approaches considered here are semi-parametric. The book provides clinicians and biostatisticians with the exact test procedures and exact interval estimators, which are applicable even when the number of patients in a crossover trial is small. Systematic discussion on sample size determination is also included, which will be a valuable resource for researchers involved in crossover trial design. Key features
Crossover Designs: Testing, Estimation and Sample Size will be a useful resource for researchers from biostatistics, as well as pharmaceutical and clinical sciences. It can also be used as a textbook or reference for graduate students studying clinical experiments. |