๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Cluster Randomised Trials, Second Edition

โœ Scribed by Richard J. Hayes, Lawrence H. Moulton


Publisher
Chapman and Hall/CRC
Year
2017
Tongue
English
Leaves
425
Series
Chapman & Hall/CRC Biostatistics Series
Edition
2
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Cluster Randomised Trials, Second Edition discusses the design, conduct, and analysis of trials that randomise groups of individuals to different treatments. It explores the advantages of cluster randomisation, with special attention given to evaluating the effects of interventions against infectious diseases. Avoiding unnecessary mathematical detail, the book covers basic concepts underlying the use of cluster randomisation, such as direct, indirect, and total effects.

In the time since the publication of the first edition, the use of cluster randomised trials (CRTs) has increased substantially, which is reflected in the updates to this edition. There are greatly expanded sections on randomisation, sample size estimation, and alternative designs, including new material on stepped wedge designs. There is a new section on handling ordinal outcome data, and an appendix with descriptions and/or generating code of the example data sets.

Although the book mainly focuses on medical and public health applications, it shows that the rigorous evidence of intervention effects provided by CRTs has the potential to inform public policy in a wide range of other areas. The book encourages readers to apply the methods to their own trials, reproduce the analyses presented, and explore alternative approaches.

โœฆ Table of Contents


Content: Preface Authors Glossary Part A Basic Concepts Introduction Variability between Clusters Choosing Whether to Randomise by Cluster Part B Design Issues Choice of Clusters Matching and Stratification Randomisation Procedures Sample Size Alternative Study Designs Part C Analytical Methods Basic Principles of Analysis Analysis Based on Cluster-level Summaries Regression Analysis Based on Individual-level Data Analysis of Trials with More Complex Designs Part D Miscellaneous Topics Ethical Considerations Data Monitoring Reporting and InterpretationReferences Appendix


๐Ÿ“œ SIMILAR VOLUMES


Cluster Randomised Trials
โœ Richard J. Hayes, Lawrence H. Moulton ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐Ÿ› Chapman and Hall/CRC ๐ŸŒ English

<P><STRONG>Cluster Randomised Trials</STRONG> discusses the design, conduct, and analysis of health trials that randomise groups of individuals to different treatments. It explores the advantages of cluster randomization, with special attention given to evaluating the effects of interventions agains

Randomized Controlled Trials: Questions,
โœ Alejandro R. Jadad, Murray W. Enkin(auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› BMJ Books ๐ŸŒ English

Randomized controlled trials are one of the most powerful and revolutionary tools of research. This book is a convenient and accessible description of the underlying principles and practice of randomized controlled trials and their role in clinical decision-making.<br><p>Structured in a jargon-free

A Practical Guide to Cluster Randomised
โœ Sandra Eldridge, Sally Kerry(auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2012 ๐ŸŒ English

Cluster randomisedtrials are trials in which groups (or clusters) of individuals are randomly allocated to different forms of treatment. In health care, these trials often compare different ways of managing a disease or promoting healthy living, in contrast to conventional randomised trials which ra

Clinical Trials in Osteoporosis, Second
โœ Derek Pearson, Colin G. Miller ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

This second revised and updated edition is a practical handbook on clinical trials in the growing field of osteoporosis. Topics covered include study design, technical issues, data collection, quality assurance, data analysis, and presentation. Clinical Trials in Osteoporosis takes the user through

Clustering: A Data Recovery Approach, Se
โœ Boris Mirkin (Author) ๐Ÿ“‚ Library ๐Ÿ“… 2013 ๐Ÿ› Chapman and Hall/CRC

<p>Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods-K-Means for partitioning and Ward`s method for hierarchical cl