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EbookBell Team
4.8
104 reviewsThis 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:
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.Content:
Chapter 1 Randomized Clinical Trials with Noncompliance: Issues, Definitions and Problems of Commonly Used Analyses (pages 1–20):
Chapter 2 Randomized Clinical Trials with Noncompliance under Parallel Groups Design (pages 21–90):
Chapter 3 Randomized Clinical Trials with Noncompliance in Stratified Sampling (pages 91–135):
Chapter 4 Randomized clinical trials with noncompliance under cluster sampling (pages 137–183):
Chapter 5 Randomized Clinical Trials with both Noncompliance and Subsequent Missing Outcomes (pages 185–245):
Chapter 6 Randomized Clinical Trials with Noncompliance in Repeated Binary Measurements (pages 247–287):