Medical Statistics: A Textbook for the Health Sciences [Paperback]
Author: Michael J. Campbell | Language: English | ISBN: 0470025190 | Format: PDF, EPUB
You can download Medical Statistics: A Textbook for the Health Sciences for everyone book 4shared, mediafire, hotfile, and mirror link
Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, Fourth Edition:
- Assumes no prior knowledge of statistics
- Covers all essential statistical methods
- Completely revised, updated and expanded
- Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals
From the reviews of the previous edition:
"The book has several excellent features: it is written by statisticians, is.... well presented, is well referenced.... and is short." THE LANCET
"Many statisticians are concerned at the generally poor standard of statistics in papers published in medical journals. Perhaps this could be remedied if more research workers would spare a few hours to read through Campbell and Machin's book." BRITISH MEDICAL JOURNAL
"... a simple, interesting and insightful introduction to medical statistics... highly recommended." STATISTICAL METHODS IN MEDICAL RESEARCH
"Campbell and Machin found the golden mean... this book can be recommended for all students and all medical researchers." ISCB NEWSLETTER
- Paperback: 344 pages
- Publisher: Wiley; 4 edition (August 6, 2007)
- Language: English
- ISBN-10: 0470025190
- ISBN-13: 978-0470025192
- Product Dimensions: 9.8 x 6.7 x 0.8 inches
- Shipping Weight: 1.4 pounds (View shipping rates and policies)
- Amazon Best Sellers Rank: #520,699 in Books (See Top 100 in Books)
1. Uses and abuses of medical statistics.
2. Describing and displaying categorical data.
3. Describing and displaying quantitative data.
4. Probability and decision making.
5. Distributions.
6. Populations, samples, standard errors and confidence intervals.
7. p-values and statistical inference.
8. Tests for comparing two groups of categorical or continuous data.
9. Correlation and linear regression.
10. Survival analysis.
11. Reliability and methods comparison studies.
12. Observational studies.
13. The randomised controlled trial.
14. Sample size issues.
15. Common pitfalls.
References.
Solutions to exercises.
Statistical tables.
Index.
I've taught out of this book three time (graduate students, fellows). It's an outstanding text for folks in a medical school environment who haven't had a basic statistics course or had one a long time ago. The progression of material is excellent, the examples are clear, and the material is pitched at exactly the right level. My copy (4th edition) does not appear to have the typos mentioned by others here.By Jeff Gill
This book is required reading for an introductory, graduate level statistics class. The material itself is ok. Like the poster above mentioned, the mathematical error on page 18 is a huge turn-off. It is simple math, the simplest this book shows! There are also countless grammatical errors that sometimes make it hard to understand basic sentences and concepts. I am a very literal reader and multiple times have had to go back and edit pages myself before I could read them and disregard completely unnecessary commas or periods to make the writing understandable. This book is going out to beginners and people who don't have much background in statistics. At the very least it could be understandable and well edited. I'm on chapter 7 of 15 and don't expect it to get any better.By Learning
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