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How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research.

A complete guide to understanding cluster randomised trials Written by two researchers with extensive experience in the field, this book presents a complete guide to the design, analysis and reporting of cluster randomised trials. It spans a wide range of applications: trials in developing countries...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Campbell, Michael J.
Otros Autores: Walters, Stephen J.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Wiley, 2014.
Colección:Statistics in practice.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research. 
260 |a Hoboken :  |b Wiley,  |c 2014. 
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504 |a Includes bibliographical references and index. 
505 0 |a Cover -- Title Page -- Copyright -- Contents -- Preface -- Acronyms and abbreviations -- Chapter 1 Introduction -- 1.1 Randomised controlled trials -- 1.1.1 A-Allocation at random -- 1.1.2 B-Blindness -- 1.1.3 C-Control -- 1.2 Complex interventions -- 1.3 History of cluster randomised trials -- 1.4 Cohort and field trials -- 1.5 The field/community trial -- 1.5.1 The REACT trial -- 1.5.2 The Informed Choice leaflets trial -- 1.5.3 The Mwanza trial -- 1.5.4 The paramedics practitioner trial -- 1.6 The cohort trial -- 1.6.1 The PoNDER trial. 
505 8 |a 1.6.2 The DESMOND trial -- 1.6.3 The Diabetes Care from Diagnosis trial -- 1.6.4 The REPOSE trial -- 1.6.5 Other examples of cohort cluster trials -- 1.7 Field versus cohort designs -- 1.8 Reasons for cluster trials -- 1.9 Between- and within-cluster variation -- 1.10 Random-effects models for continuous outcomes -- 1.10.1 The model -- 1.10.2 The intracluster correlation coefficient -- 1.10.3 Estimating the intracluster correlation (ICC) coefficient. 
505 8 |a 1.10.4 Link between the Pearson correlation coefficient and the intraclass correlation coefficient -- 1.11 Random-effects models for binary outcomes -- 1.11.1 The model -- 1.11.2 The ICC for binary data -- 1.11.3 The coefficient of variation -- 1.11.4 Relationship between cvc and u for binary data -- 1.12 The design effect -- 1.13 Commonly asked questions -- 1.14 Websources -- Exercise -- Appendix 1.A -- Chapter 2 Design issues -- 2.1 Introduction -- 2.2 Issues for a simple intervention -- 2.2.1 Phases of a trial -- 2.2.1.1 Preclinical. 
505 8 |a 2.2.1.2 Sequence of phases -- 2.2.2 'Pragmatic' and 'explanatory' trials -- 2.2.3 Intention-to-treat and per-protocol analyses -- 2.2.4 Non-inferiority and equivalence trials -- 2.3 Complex interventions -- 2.3.1 Design of complex interventions -- 2.3.1.1 Theory (preclinical) -- 2.3.2 Phase I modelling/qualitative designs -- 2.3.3 Pilot or feasibility studies -- 2.3.4 Example of pilot/feasibility studies in cluster trials -- 2.4 Recruitment bias -- 2.5 Matched-pair trials -- 2.5.1 Design of matched-pair studies. 
505 8 |a 2.5.2 Limitations of matched-pairs designs -- 2.5.3 Example of matched-pair design: The Family Heart Study -- 2.6 Other types of designs -- 2.6.1 Cluster factorial designs -- 2.6.2 Example cluster factorial trial -- 2.6.3 Cluster crossover trials -- 2.6.4 Example of a cluster crossover trial -- 2.6.5 Stepped wedge -- 2.6.6 Pseudorandomised trials -- 2.7 Other design issues -- 2.8 Strategies for improving precision -- 2.9 Randomisation -- 2.9.1 Reasons for randomisation -- 2.9.2 Simple randomisation -- 2.9.3 Stratified randomisation. 
520 8 |a A complete guide to understanding cluster randomised trials Written by two researchers with extensive experience in the field, this book presents a complete guide to the design, analysis and reporting of cluster randomised trials. It spans a wide range of applications: trials in developing countries, trials in primary care, trials in the health services. A key feature is the use of R code and code from other popular packages to plan and analyse cluster trials, using data from actual trials. The book contains clear technical descriptions of the models used, and considers in detail the ethics involved in such trials and the problems in planning them. For readers and students who do not intend to run a trial but wish to be a critical reader of the literature, there are sections on the CONSORT statement, and exercises in reading published trials. Written in a clear, accessible style Features real examples taken from the authors' extensive practitioner experience of designing and analysing clinical trials Demonstrates the use of R, Stata and SPSS for statistical analysis Includes computer code so the reader can replicate all the analyses Discusses neglected areas such as ethics and practical issues in running cluster randomised trials How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research provides an excellent reference tool and can be read with profit by statisticians, health services researchers, systematic reviewers and critical readers of cluster randomised trials. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Randomized Controlled Trials as Topic. 
650 0 |a Data Interpretation, Statistical. 
650 0 |a Health Services Research  |x method. 
650 0 |a Research Design. 
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650 2 2 |a Data Interpretation, Statistical 
650 2 2 |a Health Services Research  |x methods 
650 2 2 |a Research Design 
700 1 |a Walters, Stephen J. 
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776 0 8 |i Print version:  |a Campbell, Michael J.  |t How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research.  |d Hoboken : Wiley, ©2014  |z 9781119992028 
830 0 |a Statistics in practice. 
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