As a result of the expansion in the area of pharmaceutical medicine there is an ever-increasing need for educational resources. The Dictionary of Clinical Trials, Second Edition comprehensively explains the 3000 words and short phrases commonly used when designing, running, analysing and reporting clinical trials.

This book is a quick, pocket reference tool to understand the common and less well-used terms within the discipline of clinical trials, and provides an alternative to the textbooks available. Terms are heavily cross-referenced, which helps the reader to understand how terms fit into the broad picture of clinical trials.

• Wide ranging, brief, pragmatic explanations of clinical trial terminology
• Scope includes medical, statistical, epidemiological, ethical, regulatory and data management terminology
• Thoroughly revised and expanded - increase of 280 terms from First Edition, reference to Cochrane included

From the reviews of the First Edition:

"This invaluable text explains the majority of clinical trial terms, in alphabetical order, that are likely to be found in clinical trial protocols, reports, regulatory guidelines, and published manuscripts... Fully comprehensive - provides definitions of clinical trial terms in one complete volume... Includes extensive use of graphs throughout." LA DOC STI

"...covers a range of subject matter, with emphasis on medical, statistical, epidemiological and ethical terms... a useful adjunct to standard clinical trial texts... a reference source to keep within easy reach." TALANTA

The Dictionary of Clinical Trials, Second Edition is a ‘must-have’ for all pharmaceutical companies who conduct a lot of clinical trials, in all or one therapeutic area. The book is also of interest for public health and health science workers, and for contract research organisations and departments of medicine, where medics are involved with clinical trials.

Simon Day has wide experience working as a statistician in the pharmaceutical industry and heading the UK regulatory authority’s statistics unit.  He has published widely on clinical trial methods as well as results from studies.  He has served on many journal editorial boards and is an Associate Editor of Statistics in Medicine.