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Binary Data Analysis of Randomized Clinical Trials with Noncompliance
Kung-Jong Lui
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Description for Binary Data Analysis of Randomized Clinical Trials with Noncompliance
This book provides a systematic and organized approach to analyzing data for a RCT with noncompliance under the most frequently-encountered situations, including parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent binomial sampling for repeated measurements. Series: Statistics in Practice. Num Pages: 330 pages, Illustrations. BIC Classification: MBGR1; MBNS; PB. Category: (P) Professional & Vocational. Dimension: 233 x 162 x 24. Weight in Grams: 624.
It is quite common in a randomized clinical trial (RCT) to encounter patients who do not comply with their assigned treatment. Since noncompliance often occurs non-randomly, the commonly-used approaches, including both the as-treated (AT) and as-protocol (AP) analysis, and the intent-to-treat (ITT) (or as-randomized) analysis, are all well known to possibly produce a biased inference of the treatment efficacy.
It is quite common in a randomized clinical trial (RCT) to encounter patients who do not comply with their assigned treatment. Since noncompliance often occurs non-randomly, the commonly-used approaches, including both the as-treated (AT) and as-protocol (AP) analysis, and the intent-to-treat (ITT) (or as-randomized) analysis, are all well known to possibly produce a biased inference of the treatment efficacy.
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 ... Read more
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.
Show LessProduct Details
Publication date
2011
Publisher
John Wiley and Sons Ltd United States
Number of pages
330
Condition
New
Series
Statistics in Practice
Number of Pages
330
Format
Hardback
Place of Publication
New York, United States
ISBN
9780470660959
SKU
V9780470660959
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Kung-Jong Lui
Kung-Jong Lui, Department of Mathematics and Statistics, San Diego State University, USA.
Reviews for Binary Data Analysis of Randomized Clinical Trials with Noncompliance
"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)