Encyclopaedic Companion to Medical Statistics

ISBN-13: 9780470684191 / Angielski / Twarda / 2011 / 520 str.

Brian S. Everitt

Opis

Medical statistics is increasingly important in many areas of medicine and the rise of evidence-based medicine will make it still more so. With coverage ranging from simple definitions and basic tests to the latest technique used at the cutting edge of medical research, this book will be useful to anyone working in the field.

Recenzje

I would happily recommend this book to all medical libraries Public libraries should try to counteract this, in the interests of public health and safety, and might find this book to be a useful back–up tool for the purpose, though it is really designed for a more specialised readership.   (Reference Reviews Journal, 2011)

"About 400 entries, updated and revised for this edition, are provided, including 30 new ones, ranging from active control equivalence studies to multiple linear regression to z–score." (Booknews, 1 April 2011)

 

Spis treści

Foreword.

Preface to the Second Edition.

Preface.

Biographical Information on the Editors.

List of Contributors.

Abbreviations and Acronyms.

Encyclopaedic Companion to Medical Statistics A Z.

Blurb

Statistical methodology is of great importance to medical research and clinical practice. The Encyclopaedic Companion to Medical Statistics contains readable accounts of the key topics central to current research and practice. Each entry has been written by an individual chosen for both their expertise in the field and their ability to communicate statistical concepts successfully to medical researchers. Real examples from the biomedical literature and relevant illustrations feature in many entries and extensive cross referencing signposts the reader to related entries.

Key Features:

• Contains accounts of over 400 statistical topics central to current medical research.
• 80% of first edition entries updated and revised.
• Presents the latest techniques used at the cutting edge of medical research.
• Covers common errors in statistical analyses in medicine.
• Real examples from the biomedical literature and relevant illustrations feature throughout.
• Contains contributions from over 70 experts in the field.

Medical researchers, researchers and practitioners in medical research and statistics will benefit greatly from this book.