Description
Book SynopsisA good understanding of medical statistics is essential to evaluate medical research and to choose appropriate ways of implementing findings in clinical practice. The Oxford Handbook of Medical Statistics has been written to provide doctors and medical students with a comprehensive yet concise account of this often difficult subject. Described by readers as a ''statistical Bible'', this new edition maintains the accessibility and thoroughness of the original, and includes comprehensive updates including new sections on transitional medicine, cluster designs, and modern statistical packages. The Handbook promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t- and chi-squared tests, to complex multifactorial analyses, all using examples from published research. References and further reading are included, to allow deeper understanding on specific topics. Featuring a new chapter on how to use this book in different medical contexts, the Oxford Handbook of Medical Statistics helps readers to conduct their own research and critically appraise others'' work.
Trade ReviewReview from previous edition 'I am a student of the Masters in Public Health. I just wanted to let you know that I have really enjoyed the classes you taught as well as the book that you've written (the oxford handbook of medical statistics). I found the book a breath of fresh air when revising for my exams- the explanations so clear and concise, straight to the point. Statistics really do make sense when explained like this. Thank you for providing such a useful tool.' * Alicia Rosello, King's College London *
Table of Contents1: How to use the Oxford Handbook of Medical Statistics 2: Research design 3: Collecting data 4: Handling data: what steps are important 5: Presenting research findings 6: Choosing and using statistical software 7: Summarising data 8: Probability and distributions 9: Statistical tests 10: Diagnostic studies 11: Other statistical methods/topics 12: Analysing multiple observations per subject 13: Analysing multiple variables per subject 14: Meta analysis 15: Bayesian statistics 16: Glossary
