Medical statistics : a textbook for the health sciences
著者
書誌事項
Medical statistics : a textbook for the health sciences
Wiley, c2007
4th ed
- : pbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. 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
目次
Preface to the Fourth Edition. 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.
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