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Oxford Handbook of Medical Statistics
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Description
Description| Publisher | Oxford University Press UK |
| Author(s) | Janet L. Peacock / Phil J. Peacock |
| Edition | 2 |
| Published | 25th June 2020 |
| Related course codes | HSH216 - Epidemiology and Biostatistics 2, HSYP8104 Disease and Prevention and Health Promotion, PSYH4418 - Design and Statistics IV, STA10008 - Statistics 101, STA20006 - Analysis of Variance, 10222 - Biostatistics, HSHM531 - Epidemiological Evidence for Managerial Decision Making, BSTA5002 - Principles of Statistical Inference |
A 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.
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.
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