Binary Data Analysis of Randomized Clinical Trials with Noncompliance (Statistics in Practice)

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  • Binary Data Analysis of Randomized Clinical Trials with Noncompliance
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    • Would you like to change to the United States site? 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. 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. Request permission to reuse content from this site.

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    Binary Data Analysis of Randomized Clinical Trials with Noncompliance

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    Army Medical Correspondence Course: Pain Medicine Board Review. Handbook of Latent Variable and Related Models. Genomic Clinical Trials and Predictive Medicine. Network Meta-Analysis for Decision-Making. The Biostatistics of Aging. How to write a great review. The review must be at least 50 characters long. The title should be at least 4 characters long. Your display name should be at least 2 characters long. At Kobo, we try to ensure that published reviews do not contain rude or profane language, spoilers, or any of our reviewer's personal information.

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    You can remove the unavailable item s now or we'll automatically remove it at Checkout. Continue shopping Checkout Continue shopping. Chi ama i libri sceglie Kobo e inMondadori. Buy the eBook Price: Available in Russia Shop from Russia to buy this item. 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.

    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.

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    Includes SAS programs which can be easily modified in calculating the required sample size. Ratings and Reviews 0 0 star ratings 0 reviews.

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