How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research (Statistics in Practice) - Hardcover

Campbell, Michael J.; Walters, Stephen J.

Hardcover

ISBN 10: 1119992028 ISBN 13: 9781119992028

Verlag: Wiley, 2014

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

MICHAEL J. CAMPBELL and STEPHEN J. WALTERS, Medical Statistics Group, School of Health and Related Research, University of Sheffield, UK

Von der hinteren Coverseite

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, 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.

STATISTICS IN PRACTICE

A series of practical books outlining the use of statistical techniques in a wide range of applications areas:

• HUMAN AND BIOLOGICAL SCIENCES
• EARTH AND ENVIRONMENTAL SCIENCES
• INDUSTRY, COMMERCE AND FINANCE

Aus dem Klappentext

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, 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.

STATISTICS IN PRACTICE

A series of practical books outlining the use of statistical techniques in a wide range of applications areas:

• HUMAN AND BIOLOGICAL SCIENCES
• EARTH AND ENVIRONMENTAL SCIENCES
• INDUSTRY, COMMERCE AND FINANCE

Details zur Ausgabe

• Verlag: Wiley
• Erscheinungsdatum: 2014
• Sprache: Englisch
• ISBN 10: 1119992028
• ISBN 13: 9781119992028
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 272
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland