Crossover designs : testing, estimation, and sample size / Kung-Jong Lui.

Format:

Book

Author/Creator:

Lui, Kung-Jong, author.

Contributor:

Wiley InterScience (Online service)

Murray Galt Motter Memorial Fund.

Series:

Statistics in practice

Language:

English

Subjects (All):

Crossover trials.

Cross-Over Studies.

Data Interpretation, Statistical.

Sample Size.

Statistical Distributions.

Models, Statistical.

Clinical Trials as Topic.

Medical Subjects:

Cross-Over Studies.

Data Interpretation, Statistical.

Sample Size.

Statistical Distributions.

Models, Statistical.

Clinical Trials as Topic.

Physical Description:

1 online resource (xiii, 227 pages).

Edition:

First edition.

Place of Publication:

Chichester, West Sussex, United Kingdom : John Wiley & Sons, Ltd, 2016.

System Details:

text file

Summary:

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 fool 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 with 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. Book jacket.

Contents:

Crossover design : definitions, notes and limitations

AB/BA design in continuous data

AB/BA design in dichotomous data

AB/BA design in ordinal data

AB/BA design in frequency data

Three-treatment three-period crossover design in continuous data

Three-treatment three-period crossover design in dichotomous data

Three-treatment three-period crossover design in ordinal data

Three-treatment three-period crossover design in frequency data

Three-treatment (incomplete block) crossover design in continuous and dichotomous data.

Notes:

Includes bibliographical references and index.

Electronic reproduction. Hoboken, N.J. Available via World Wide Web.

Description based on online resource; title from digital title page (viewed on October 17, 2016).

Local Notes:

Acquired for the Penn Libraries with assistance from the Murray Galt Motter Memorial Fund.

Other Format:

Print version: Lui, Kung-Jong, author. Crossover designs

ISBN:

9781119114710

1119114713

9781119114697

1119114691

Publisher Number:

99969119880

Access Restriction:

Restricted for use by site license.