Properly conducted medical studies, following the principles of scientific experimentation, provide the only reliable basis for evaluating the efficacy and safety of new treatments. It is vital that these be based on carefully formulated research protocols.

Preface. Chapter 1. What is Evidence. Chapter 2. Measurement, Forms and Questionnaires. Chapter 3. Principles of Study Size Calculation. Chapter 4. Randomisation. Chapter 5. Cross-sectional Longitudinal Studies. Chapter 6. Surveys, Cohort and Case-Control Studies. Chapter 7. Clinical Trails - General Issues. Chapter 8. Early Clinical Trials. Chapter 9. Phase III Trials. Chapter 10. Diagnosis. Chapter 11. Prognostic Factor Studies. References. Tables. Index.

Essential Reading for Medical Research Good design is a pre-requisite for successful medical research and The Design of Studies for Medical Research shows just how this can be achieved. The book focuses on how to effectively design studies and covers all key aspects of the process: How to take samplesHow to randomiseQuestionnaire and form designSample size determinationDesign of laboratory experimentsDesign of clinical trialsDesign of epidemiological studies This book is for anyone working in medical research, from the laboratory through to general practice and public health. It will be ideal for anyone embarking upon research for the first time or submitting a research proposal for funding, but is of relevance to all health and allied health professionals Includes examples from the medical literatureHighlights and summarises key concepts

"…a thorough but concise introduction to study design and data analysis." (E-STREAMS, June 2006) "…a very good attempt to discuss various aspects of clinical research…" (Journal of Biopharmaceutical Statistics, July/August 2006) "This is a well researched, well written, thoughtful, and…easy to read primer…a valuable addition to books for research physicians, medical students, and others…" (Doody's Health Services) "…this book is surprisingly refreshing…could be used in any number of situations with equality utility…" (Canadian Journal of Medical Laboratory Science, 2005)