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Design and Analysis of Group- Randomized Trials Description

This text provides the most comprehensive treatment of the design and analytic issues involved in group-randomized trials. GRTs are comparative studies conducted to evaluate the effect of a health promotion intervention in which the units of assignment are identifiable groups (e.g., schools, worksites) and the units of observation are members of those groups (e.g., students, workers). The book reviews the underlying issues, the most widely used research designs, and analytic strategies. There is an emphasis on mixed-model regression, with two chapters illustrating the analytic methods in SAS PROC MIXED and GLIMMIX. There is also a detailed chapter on power analysis and sample size calculation.

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Selection Bias and Covariate Imbalances in Randomized Clinical Trials (Statistics in Practice) by Wiley




Selection bias can, and does, occur, even in randomized clinical trials. Steps need to be taken in order to ensure that this does not compromise the integrity of clinical trials; hence “Selection Bias and Covariate Imbalances in Randomized Clinical Trials" offers a comprehensive treatment of the subject and the methodology involved.  This book:

• Provides an overview of the hierarchy of study designs, and justifies the position of randomised trials at the top of this hierarchy.
• Discusses the strengths and defects of randomisation, and provides real evidence to justify concern regarding its defects.
• Outlays the damaging consequences that selection bias causes when it does occur.
• Considers courses of action that can be taken to manage/ contain the problem.
• Presents methods that can be used to detect selection bias in randomised trials, and methods to correct for selection bias.
• Concludes by providing a comprehensive plan for managing baseline imbalances and selection bias in randomised trials, and proposing open problems for future research.

 Illustrated with case studies, this book introduces groundbreaking ideas and research that will be invaluable to researchers and practitioners who design and analyse clinical trials. It will also be of interest to graduate students within the field of biostatistics. Read more Selection Bias and Covariate Imbalances in Randomized Clinical Trials (Statistics in Practice)

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This handbook is a ready reference on the theory and operation of modern large, multicenter randomized clinical trials, which have come to be the basis of evidence-based medicine. Written in a concise, engaging style geared to physicians, the book explains the rationale and theoretical foundations for clinical trials, the components of modern clinical trials including their functions and interactions, and practical considerations in the design and implementation of these studies including an introduction to the economics and business aspects.

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Evidence from randomized controlled clinical trials is widely accepted as the only sound basis for assessing the efficacy of new medical treatments. Statistical methods play a key role in all stages of these trials, including their justification, design, and analysis. This second edition of Introduction to Randomized Controlled Clinical Trials provides a concise presentation of the principles applied in this area. It details the concepts behind randomization and methods for designing and analyzing trials and also includes information on meta-analysis and specialized designs, such as cross-over trials, cluster-randomized designs, and equivalence studies.

This latest edition features new and revised references, examples, exercises, and a new chapter dedicated to binary outcomes and survival analysis. It also presents numerous examples taken from the medical literature, contains exercises at the end of each chapter, and offers solutions in an appendix. The author uses Minitab and R software throughout the text for implementing the methods that are presented.

Comprehensive and accessible, Introduction to Randomized Controlled Clinical Trials is well-suited for those familiar with elementary statistical ideas and methods who want to further their knowledge of the subject.

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How can one tell if a new programme has been effective or not? Is there any way to predict how a group of individuals would have fared without the new programme or service? Packed with rich and varied examples, Robert F Boruch's book untangles the complexities of randomized field experiments to enable researchers to evaluate better the impact of new programmes. After an exploration of how to judge whether or not a programme worked, the author discusses: the context of experiments; the standards used to judge the ethical propriety of randomized experiments; methods for studying populations; sampling methods; the randomization procedure; baseline measures; missing data registry; and analyses for quality assurance.