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Multiple Analyses in Clinical Trials

Fundamentals for Investigators. 'Statistics for Biology and Health'. Auflage 2003. 32 Abbildungen.…
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Concentrating on the rationale for the analyses, the difficulties posed by their interpretation, easily understood solutions, and useful problem sets, this book will help clinical investigators understand multiple analysis procedures and key issues. … weiterlesen
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Produktdetails

Titel: Multiple Analyses in Clinical Trials
Autor/en: Lemuel A. Moyé

ISBN: 038700727X
EAN: 9780387007274
Fundamentals for Investigators.
'Statistics for Biology and Health'.
Auflage 2003.
32 Abbildungen.
Sprache: Englisch.
Springer-Verlag GmbH

30. Juli 2003 - gebunden - XXIII

Beschreibung

Concentrating on the rationale for the analyses, the difficulties posed by their interpretation, easily understood solutions, and useful problem sets, this book will help clinical investigators understand multiple analysis procedures and key issues. It is written for advanced medical students, clinical investigators at all levels, research groups within the pharmaceutical industry, regulators at the local, state, and federal level, and biostatisticians.

Inhaltsverzeichnis

From the contents:

Introduction.- The Rudiments: Methodologic Roots of Clinical Trial Design.- Multiple Analyses and the Random Experiment.- The Lure and Complexity of Multiple Analyses.- Multiple Analyses and Multiple Endpoints.- Introduction to Multiple Dependent Analyses.- Multiple Dependent Analyses 2.- Introduction to Composite Endpoints.- Multiple Analyses and Composite Endpoints.- Introduction to Subgroup Analyses.- Subgroups II: Effect Domination and Controversy.- Subgroups III: Confirmatory Analyses.- Multiple Analyses and Multiple Treatment Arms.- Combining Multiple Analyses.- Conclusions.

Pressestimmen

From the reviews:
"Moyé's background as a statistician and MD makes him especially qualified to write this book...The clinical trial examples are a major strength of the book...His medical background and extensive clinical trials experience shine through." Statistics in Medicine, 2004, 23:3551-3559
"The many examples from well known clinical trials are clearly one of the strengths of this book. It is also fascinating to share the author's experience with the FDA where he attended many meetings of Advisory Committees."Biometrics, December 2005
"According to the preface, this book is written for clinical investigators and research groups within the pharmaceutical industry, medical students and regulators. ... I admire the eloquency of the author. ... The author does a remarkable job ... . Without any doubt, the book is a valuable source of ideas for the intended audience. For statisticians it is an interesting source of experimental setups, that are actually used in practice and that consequently are worth while to be studied." (dr H. W. M. Hendriks, Kwantitatieve Methoden, Issue 72B41, 2005)
"The book is entertaining and informative, sufficiently informal to recruit and retain the intended non-statistical readership, but sufficiently formal to detail methods. The author effectively sets up each issue with examples and conceptual discussion, grounding all in realistic examples." (T. A. Louis, Short Book Reviews, Vol. 24 (2), 2004)
"Here in this book is a special situation for clinical trials in which the investigator must do statistical analyses for a number of different response measurements. ... The author felt that the clinical investigators needed a book that they could understand. This book is his effort to reach that audience. ... I like the book's organization. ... I enjoyed leafing through this book and would certainly enjoy having the opportunity to sit down and read it." (Eric R. Ziegel, Technometrics, Vol. 46 (3), August, 2004)
"This book is written primarily for clinical researchers who are interested in designing and analysing clinical trials. It concentrates on elucidating problems arising from multiple analyses in clinical trials ... . In general, the book is well written and easy to follow. ... Although this book is written for clinical investigators, I find it a useful reference book for statisticians in the pharmaceutical industry ... . Furthermore, senior statisticians may find the non-technical discussions and practical examples useful." (Shuying Yang, Pharmaceutical Statistics, Issue 3, 2004)

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