Livre
Introduction to randomized controlled clinical trials
Auteur(s) :
MATTHEWS, J. N.
Année
2006
Page(s) :
283 p.
Langue(s) :
Anglais
Éditeur(s) :
NY : Chapman & Hall/CRC
, Second edition
Collection :
Texts in Statistical Science
ISBN :
978-1-58488-624-2
Domaine :
Hors addiction / No addiction
Discipline :
EPI (Epidémiologie / Epidemiology)
Note de contenu :
Features:
* Provides a concise and accessible introduction to statistical methods in clinical trials
* Presents precise, comprehensive explanations of necessary terminology
* Includes new and updated information, references, examples, exercises, and solutions
* Provides a concise and accessible introduction to statistical methods in clinical trials
* Presents precise, comprehensive explanations of necessary terminology
* Includes new and updated information, references, examples, exercises, and solutions
Résumé :
Evidence from randomized controlled clinical trials is widely accepted as the only sound basis for assessing the efficacy of new medical treatments. Statistical methods play a key role in all stages of these trials, including their justification, design, and analysis.
This second edition of "Introduction to Randomized Controlled Clinical Trials" provides a concise presentation of the principles applied in this area. It details the concepts behind randomization and methods for designing and analyzing trials and also includes information on meta-analysis and specialized designs, such as cross-over trials, cluster-randomized designs, and equivalence studies.
This latest edition features new and revised references, examples, exercises, and a new chapter dedicated to binary outcomes and survival analysis. It also presents numerous examples taken from the medical literature, contains exercises at the end of each chapter, and offers solutions in an appendix. The author uses Minitab and R software throughout the text for implementing the methods that are presented. [Editor's abstract]
This second edition of "Introduction to Randomized Controlled Clinical Trials" provides a concise presentation of the principles applied in this area. It details the concepts behind randomization and methods for designing and analyzing trials and also includes information on meta-analysis and specialized designs, such as cross-over trials, cluster-randomized designs, and equivalence studies.
This latest edition features new and revised references, examples, exercises, and a new chapter dedicated to binary outcomes and survival analysis. It also presents numerous examples taken from the medical literature, contains exercises at the end of each chapter, and offers solutions in an appendix. The author uses Minitab and R software throughout the text for implementing the methods that are presented. [Editor's abstract]
Affiliation :
University of Newcastle, UK
Cote :
USUEL 152
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