Binary Data Analysis of Randomized Clinical Trials with Noncompliance

Автор: Kung-Jong Lui

Език:

Корици: С твърди корици

Издател: John Wiley & Sons Inc

Наличност: Външен склад в ограничено количество

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It is quite common in a randomized clinical trial (RCT) to encounter patients who do not comply with...

Информация за книгата

Автор

Kung-Jong Lui

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2011

страници

330

EAN

9780470660959

ISBN

0470660953

Enbook ID

04885132

Издател

John Wiley & Sons Inc

Теглоt

624

Размери

162 x 233 x 24

Пълно описание

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 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.

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Binary Data Analysis of Randomized Clinical Trials with Noncompliance

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