Crossover Designs: Testing, Estimation, and Sample Size (Statistics in Practice) - Hardcover

Lui, Kung-Jong

Hardcover

ISBN 10: 1119114683 ISBN 13: 9781119114680

Publisher: Wiley, 2016

Synopsis

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:

• Provides exact test procedures and interval estimators, which are especially of use in small-sample cases.
• Presents most test procedures and interval estimators in closed-forms, enabling readers to calculate them by use of a pocket calculator or commonly-used statistical packages.
• Each chapter is self-contained, allowing the book to be used a reference resource. 
• Uses real-life examples to illustrate the practical use of test procedures and estimators
• Provides extensive exercises to help readers appreciate the underlying theory, learn other relevant test procedures and understand how to calculate the required sample size. 

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.

About this title

About the Author

Kung-Jong Lui, Professor, Department of Mathematics and Statistics, San Diego State University, USA.

From the Back Cover

Crossover Designs: Testing, Estimation and Sample Size

Kung-Jong Lui, Department of Mathematics and Statistics, San Diego State University, USA

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:

l Provides exact test procedures and interval estimators, which are especially of use in small-sample cases.

l Presents most test procedures and interval estimators in closed-forms, enabling readers to calculate them by use of a pocket calculator or commonly-used statistical packages.

l Each chapter is self-contained, allowing the book to be used a reference resource.

l Uses real-life examples to illustrate the practical use of test procedures and estimators

l Provides extensive exercises to help readers appreciate the underlying theory, learn other relevant test procedures and understand how to calculate the required sample size.

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.

From the Inside Flap

Crossover Designs: Testing, Estimation and Sample Size

 

Kung-Jong Lui, Department of Mathematics and Statistics, San Diego State University, USA

 

 

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:

l  Provides exact test procedures and interval estimators, which are especially of use in small-sample cases.

l  Presents most test procedures and interval estimators in closed-forms, enabling readers to calculate them by use of a pocket calculator or commonly-used statistical packages.

l  Each chapter is self-contained, allowing the book to be used a reference resource. 

l  Uses real-life examples to illustrate the practical use of test procedures and estimators

l  Provides extensive exercises to help readers appreciate the underlying theory, learn other relevant test procedures and understand how to calculate the required sample size. 

 

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.

Edition details

• Publisher: Wiley
• Publication date: 2016
• Language: English
• ISBN 10: 1119114683
• ISBN 13: 9781119114680
• Binding: Hardcover
• Edition number: 1
• Number of pages: 248