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  • Book
    David Machin, Peter M. Fayers, Bee Choo Tai.
    Summary: "It is now more than ten years since the first edition of this book was published. In the intervening years, while many things have remained unchanged, there have also been many new developments over the period. This second edition refreshes the first, refining some of the sections to better explain their contents and, at the same time, replacing some examples with more current illustrations. To reflect the changes, we have created new chapters by splitting and then expanding old chapters. Thus, we now include full chapters on data and safety monitoring including interim analyses of accumulating data, cluster designs, repeated measures, and non-inferiority designs as there has been a rapid increase in the use of such trial designs along with some methodological developments and improvements in statistical software available for analysis. In addition, we have included entirely new chapters on stepped wedge designs, genomic targets and, feasibility and pilot studies. The chapter on stepped wedge designs reflects the growing importance of such complex intervention designs while that on genomic targets highlights the research focus directed towards more individualised medicine. In contrast the new chapter concerned with feasibility and pilot studies brings us back to the early planning stages of the clinical trial which is planned. The chapter is included as there is increasing recognition that perhaps a more structured approach is required at the planning stage of any proposed trial. The intention is to help avoid the conduct of clinical trials which fail due to the basic assumptions made at the planning stage being inappropriate. This edition is divided into three sections: I Basic Considerations, II Adaptions of the Basic Design, and III Further Topics. As the title suggests, the first section is intended to cover topics that are relevant to all randomised trials of whatever design and complexity. Thus, it may be the key section for those who are new to clinical trials and an aide-memoire for those more experienced in this area. For this purpose, it concentrates on the parallel two-group controlled trial with a single outcome measure where patients are randomised individually to one of the two interventions concerned. The second section expands on the individually randomised design in several ways by considering paired designs, repeated assessments of the (same) outcome measure over time, more than two interventions, and non-inferiority trials. It also includes cluster trials, and stepped wedge designs in which groups rather than individuals are randomised to the interventions concerned. The final section deals with genomic targets, feasibility and pilot studies, and a final chapter on miscellaneous topics including adaptive designs, large simple trials and very small trials with new additions describing alpha spending functions and the predictive probability test for use in interim analyses"-- Provided by publisher

    Design Features
    The Trial Protocol
    Measurement and Data Capture
    Trial Initiation
    Trial Conduct and Completion
    Basics for Analysis
    Trial Size
    Data and Safety Monitoring
    More than Two Interventions
    Paired and Matched Designs
    Repeated Measures Design
    Non-Inferiority and Equivalence Trials
    Cluster Designs
    Stepped Wedge Designs
    Genomic Targets
    Feasibility and Pilot Studies
    Further Topics.
    Digital Access Wiley 2021