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An Introduction to Medical Statistics by Martin Bland 4th Ed New Book, Paperback

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Item specifics

Condition
Very Good: A book that has been read but is in excellent condition. No obvious damage to the cover, ...
Product Group
Book
EAN
9780199589920
ISBN
9780199589920
Title
An Introduction to Medical Statistics
ISBN-10
0199589925
Narrtive Type
Non Fiction/Fiction
Age Level
Adults
Topic
Books
Modified Item
No

About this product

Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0199589925
ISBN-13
9780199589920
eBay Product ID (ePID)
19064284276

Product Key Features

Number of Pages
448 Pages
Publication Name
Introduction to Medical Statistics
Language
English
Subject
Medical Law & Legislation, Probability & Statistics / General, Life Sciences / Biology, Epidemiology
Publication Year
2015
Type
Textbook
Subject Area
Mathematics, Law, Science, Medical
Author
Martin Bland
Format
Trade Paperback

Dimensions

Item Height
0.9 in
Item Weight
30.6 Oz
Item Length
9.7 in
Item Width
7.4 in

Additional Product Features

Edition Number
4
LCCN
2014-959481
Reviews
'Review from previous edition The coverage may not be very different from that of other introductory texts, but in my view the style and content are, and they alone make this text one of the best of its kind. The approach is very data driven, and the use of real data makes this even more appealing...this is an excellent book -- in my view it should be the first choice for any student wanting a serious introduction to the practice of medicalstatistics. 'The Statistician'If you want to understand some of the statistical ideas important to medicine but fear being overwhelmed by mathematics you will welcome An Introduction to Medical Statistics.'British Medical Journal'At last I have a book on medical statistics that I can safely recommend to my students!...One of the pleasures of the book is that it contains real data.'Journal of the Royal Statistical Society'It is a book which I think anyone teaching an introductory course in medical statistics should seriously consider as the main text.'Statistics in Medicine, Review from previous edition The coverage may not be very different from that of other introductory texts, but in my view the style and content are, and they alone make this text one of the best of its kind. The approach is very data driven, and the use of real data makes this even more appealing...this is an excellent book 'e" in my view it should be the first choice for any student wanting a serious introduction to the practice of medicalstatistics.
Illustrated
Yes
Table Of Content
1. Introduction2. The Design of Experiments3. Sampling and observational studies4. Summarizing data5. Presenting data6. Probability7. The Normal distribution8. Estimation9. Significance tests10. Comparing the means of small samples11. Regression and correlation12. Methods based on rank order13. The analysis of cross-tabulations14. Choosing the statistical method15. Multifactorial methods16. Time to event data17. Meta-analysis18. Determination of sample size19. Missing data20. Clinical measurement21. Mortality statistics and population structure22. The Bayesian approach23. Appendix A Suggested answers to exercises
Synopsis
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a "must-have" textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis., Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis., An Introduction to Medical Statistics, fourth edition, is a 'must-have' textbook. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the common statistical methods seen in published research and guidelines, as well as how to interpret and analyse statistics for clinical practice., Now in its Third Edition, An Introduction to Medical Statistics contin ues to be and invaluable textbook for medical students, doctors, medic al researchers, nurses, members of professionals allied to medicine as well as those concerned with medical data. The material covered inclu des all the statistical work that would be required for a course in me dicine and for the examinations of most of the Royal Colleges. It incl udes the design of clinical trials and epidemiological studies, data c ollection, summarizing and presenting data, probability, standard erro r, confidence intervals and significance tests, techniques of data ana lusis including multifactorial methods and the choice of statistical m ethod, problems of medical measurement and diagnosis, vital statistics, and calculation of sample size.
LC Classification Number
RA409.B55 2015

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