Description
This book provides a systematic and organized approach to analyzing data for RCTs with noncompliance under the most frequently-encountered situations. These include parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent Bernoulli sampling for repeated measurements. The author provides a comprehensive approach by using contingency tables to illustrate the latent probability structure of observed data. Using real-life examples, computer-simulated data and exercises in each chapter, the book illustrates the underlying theory in an accessible, and easy to understand way.
Key features:
- Consort-flow diagrams and numerical examples are used to illustrate the bias of commonly used approaches, such as, AT analysis, AP analysis and ITT analysis for a RCT with noncompliance.
- Real-life examples are used throughout the book to explain the practical usefulness of test procedures and estimators.
- Each chapter is self-contained, allowing the book to be used as a reference source.
- Includes SAS programs which can be easily modified in calculating the required sample size.
Biostatisticians, clinicians, researchers and data analysts working in pharmaceutical industries will benefit from this book. This text can also be used as supplemental material for a course focusing on clinical statistics or experimental trials in epidemiology, psychology and sociology.
About the Author
Kung-Jong Lui, Department of Mathematics and Statistics, San Diego State University, USA.
Reviews
"The book would be well-suited as a reference for biostatisticians, clinicians, researchers, and data analysts - and it would be useful as supplemental reading for academic courses in a variety of related fields." (Book News, 1 August 2011)
Book Information
ISBN 9780470660959
Author Kung-Jong Lui
Format Hardback
Page Count 330
Imprint John Wiley & Sons Inc
Publisher John Wiley & Sons Inc
Weight(grams) 626g
Dimensions(mm) 235mm * 159mm * 23mm
