Oxford Handbook of Medical Statistics

Paperback | November 19, 2010

byJanet Peacock, Philip Peacock

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To practice evidence-based medicine, doctors need to understand how research is conducted and be able to critically appraise research evidence. A sound understanding of medical statistics is essential for the correct evaluation of medical research and the appropriate implementation of findingsin clinical practice. Written in an easily accessible style, the Oxford Handbook of Medical Statistics provides doctors and medical students with a concise and thorough account of this often difficult subject. It promotes understanding and interpretation of statistical methods across a wide range of topics, from studydesign and sample size considerations, through t- and chi-squared tests, to complex multifactor analyses, using examples from published research. References for further reading are given for more information on specific topics.Helping readers to conduct their own research or critically appraise other's work, this volume provides all the information readers need to understand and interpret medical statistics.

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To practice evidence-based medicine, doctors need to understand how research is conducted and be able to critically appraise research evidence. A sound understanding of medical statistics is essential for the correct evaluation of medical research and the appropriate implementation of findingsin clinical practice. Written in an easily ...

Janet Peacock is Professor of Medical Statistics in the Department of Public Health Sciences and Medical Statistics, University of Southampton School of Medicine, where she leads the discipline of Medical Statistics. She previously worked for over 20 years at St George's University of London. There she worked with Martin Bland and Sal...

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Format:PaperbackDimensions:544 pagesPublished:November 19, 2010Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199551286

ISBN - 13:9780199551286

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Table of Contents

1. Research design2. Collecting data3. Handling the data: what steps are important4. Presenting research findings5. Choosing and using statistical software for analysing data6. Summarising data7. Probability and distributions8. Statistical tests9. Diagnostic studies10. Other statistical methods11. Analysing multiple observations per subject12. Analysing multiple variables per subject13. Meta-analysis14. Bayesian statistics15. Glossary