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

Format:

Book

Author/Creator:

Lui, Kung-Jong, author.

Series:

Statistics in Practice

THEi Wiley ebooks.

Statistics in practice

THEi Wiley ebooks

Language:

English

Subjects (All):

Crossover trials.

Physical Description:

1 online resource (244 p.)

Edition:

1st ed.

Place of Publication:

Chichester, England : Wiley, 2016.

Language Note:

English

System Details:

Access using campus network via VPN at home (THEi Users Only).

Summary:

A comprehensive and practical resource for analyses of crossover designs For ethical reasons, it isvital to keep the number of patients in a clinical trial aslow as possible.As evidenced by extensive research publications, crossover designcan bea useful and powerfultool to reduce the number of patients needed for a parallel group design in studying treatmentsfor 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 valuableresource for researchers involved incrossover 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.

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:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781119114703

1119114705

9781119114697

1119114691

9781119114710

1119114713

OCLC:

945072643