How To Design Analyse And Report Cluster Randomised Trials In Medicine And Health Related Research
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How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research
Author: Michael J. Campbell
language: en
Publisher: John Wiley & Sons
Release Date: 2014-05-27
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.
Sample Sizes for Clinical, Laboratory and Epidemiology Studies
Ein fundiertes Referenzwerk zu den statistischen Instrumenten und Softwareprogrammen, die für das Design und die Planung klinischer Studien erforderlich sind. Die erweiterte 4. Auflage von Sample Sizes for Clinical, Laboratory and Epidemiology Studies beinhaltet eine Sample-Size-Software (SSS), Formeln und nummerische Tabellen für die Gestaltung valider klinischer Studien. Das Fachbuch behandelt ebenfalls Labor- und epidemiologische Studien und stellt die Informationen zur Verfügung, damit Studien einen wesentlichen Beitrag zur medizinischen Forschung leisten. Die Autoren, allesamt anerkannte Experten des Fachgebiets, erläutern und untersuchen Schritt für Schritt die vielfältigen Überlegungen bei der Festlegung geeigneter Stichprobengrößen und helfen so bei der Planung von Studien. Bereitgestellt werden ebenfalls Stichprobentabellen mit Erläuterungen und aussagekräftige Beispiele auf der Basis von Echtdaten. Darüber hinaus enthält das Fachbuch ein Literaturverweise und Angaben zu weiterführenden Referenzen zur Unterstützung der vorgestellten Prinzipien. Diese überarbeitete 4. Auflage - ist das bislang einzige Referenzwerk mit einem Softwareprogramm für die Gestaltung und Planung klinischer Studien. - enthält neue und erweiterte Kapitel mit einer Vielzahl neuer und aktualisierter Beispiele. - erläutert verständlich die angewandten Prinzipien und Methoden anhand von Beispielen aus der Praxis. - präsentiert auf nachvollziehbare Weise ein komplexes und dennoch wichtiges Thema, damit die richtigen Methoden verwendet werden und fundierte Ergebnisse veröffentlicht werden können. - bietet Hilfestellung von einem Team international anerkannter Statistikexperten im medizinischen Bereich. Sample Sizes for Clinical, Laboratory and Epidemiology Studies richtet sich an medizinische Forscher aller Disziplinen sowie an Medizinstatistiker. Die aktualisierte 4. Auflage ist ein wichtiges Referenzwerk für die Gestaltung und Planung verlässlicher, evidenzbasierter klinischer Studien.
Medical Statistics
Author: Stephen J. Walters
language: en
Publisher: John Wiley & Sons
Release Date: 2021-02-01
The 5th Edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters added and examples refreshed throughout the book. Yet it retains its central philosophy to explain medical statistics with as little technical detail as possible, making it accessible to a wide audience. Helpful multi-choice exercises are included at the end of each chapter, with answers provided at the end of the book. Each analysis technique is carefully explained and the mathematics kept to minimum. Written in a style suitable for statisticians and clinicians alike, this edition features many real and original examples, taken from the authors' combined many years' experience of designing and analysing clinical trials and teaching statistics. Students of the health sciences, such as medicine, nursing, dentistry, physiotherapy, occupational therapy, and radiography should find the book useful, with examples relevant to their disciplines. The aim of training courses in medical statistics pertinent to these areas is not to turn the students into medical statisticians but rather to help them interpret the published scientific literature and appreciate how to design studies and analyse data arising from their own projects. However, the reader who is about to design their own study and collect, analyse and report on their own data will benefit from a clearly written book on the subject which provides practical guidance to such issues. The practical guidance provided by this book will be of use to professionals working in and/or managing clinical trials, in academic, public health, government and industry settings, particularly medical statisticians, clinicians, trial co-ordinators. Its practical approach will appeal to applied statisticians and biomedical researchers, in particular those in the biopharmaceutical industry, medical and public health organisations.