*An Introduction to Medical Statistics

重量：0.85kg　頁數：464   裝訂：平裝　開數: 24.6*18.9CM　印刷：單色

• Well-loved and highly trusted account of medical statistics
• Written in a clear logical way by a highly regarded teacher
• Contains many real-life examples drawn from recent and classic medical research
• Exercises, case studies and mcqs help readers to develop their own interpretative skills

New to this edition

• New chapters on meta-analysis, missing data, survival analysis and Baysian methods
• New sections on kappa statistics, principal component and factor analysis, and bootstrap estimates
• End-of chapter exercises focus on developing interpretative skills

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.

1: Introduction
2: The Design of Experiments
3: Sampling and observational studies
4: Summarizing data
5: Presenting data
6: Probability
7: The Normal distribution
8: Estimation
9: Significance tests
10: Comparing the means of small samples
11: Regression and correlation
12: Methods based on rank order
13: The analysis of cross-tabulations
14: Choosing the statistical method
15: Multifactorial methods
16: Time to event data
17: Meta-analysis
18: Determination of sample size
19: Missing data
20: Clinical measurement
21: Mortality statistics and population structure
22: The Bayesian approach
23: Appendix A Suggested answers to exercises