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Oxford Handbook of Medical Statistics 2nd Revised edition [Part-work (fascķculo)]

4.22/5 (23 ratings by Goodreads)
(Professor of Medical Statistics, King's College London, London, UK), (Specialty Registrar in Paediatric Emergency Medicine, Oxford University Hospitals, UK UK)
  • Formāts: Part-work (fascķculo), 640 pages, height x width x depth: 185x102x24 mm, weight: 334 g
  • Sērija : Oxford Medical Handbooks
  • Izdošanas datums: 11-Jun-2020
  • Izdevniecība: Oxford University Press
  • ISBN-10: 0198743580
  • ISBN-13: 9780198743583
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  • Part-work (fascķculo)
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  • Formāts: Part-work (fascķculo), 640 pages, height x width x depth: 185x102x24 mm, weight: 334 g
  • Sērija : Oxford Medical Handbooks
  • Izdošanas datums: 11-Jun-2020
  • Izdevniecība: Oxford University Press
  • ISBN-10: 0198743580
  • ISBN-13: 9780198743583
Citas grāmatas par šo tēmu:
This new edition of the Oxford Handbook of Medical Statistics provides doctors and medical students with a clear and concise explanation of statistical methods. It is an accessible and thorough account of a complex subject, and the previous edition has been described by readers as a 'statistical Bible'.

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.

Recenzijas

Review 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 *

1. How to use the Oxford Handbook of Medical Statistics2. Research design3. Collecting data4. Handling data: what steps are important5. Presenting research findings6. Choosing and using statistical software7. Summarising data8. Probability and distributions9. Statistical tests10. Diagnostic studies11. Other statistical methods/topics12. Analysing multiple observations per subject13. Analysing multiple variables per subject14. Meta analysis15. Bayesian statistics16. Glossary
Janet is a biostatistician who has worked in UK and US Medical Schools for many years collaborating in research studies, particularly in paediatrics. She is also Emeritus Professor of Medical Statistics at King's College, London. Her main focus continues to be the use and extension of statistical methods in epidemiological studies. She is passionate about communicating statistics clearly and making results clinically meaningful without losing statistical rigour.

Phil is in the final months of subspecialty training in paediatric emergency medicine in Oxford, having previously undertaken core paediatric training in Bristol. He has published several research papers, and enjoys helping clinicians to better understand statistics, engage with clinical research, and practice evidence-based medicine.