
Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or nursing schools, researchers and students in statistics, and anyone needing to assess the evidence published in medical journals.
This book investigates the core question of how to accurately interpret and evaluate statistical evidence presented within medical research literature. Author Stephen Simon, a professional statistician, utilizes his expertise to provide a non-technical framework for assessing the validity and quality of data found in clinical studies. By examining common pitfalls and misinterpretations, the text serves as a guide for professionals and students to navigate the complexities of medical reporting. The work emphasizes practical application over abstract theory, ensuring that readers can apply these appraisal techniques to real-world journal articles.
What You Will Find
Experts and educators frequently highlight this text as a highly accessible resource for those lacking a deep background in advanced mathematics. Readers often note that the prose remains clear and practical, making it a foundational tool for students and clinicians who need to critically evaluate medical research.
Page Count:
216
Publication Date:
2006-05-04
Publisher:
Oxford University Press
ISBN-10:
0198567618
ISBN-13:
9780198567615
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