In this following post we have shared an overview and download link of Oxford Handbook of Medical Statistics PDF. Read the quick review below and download the PDF by using links given at the end of the post. We have uploaded these PDF and EPUB files to our online file repository so that you can enjoy a safe and blazing-fast downloading experience.
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 findings
in clinical practice.
Key Features:
- 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 study design 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.
Table of Contents:
- 1: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
About the Author:
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.
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