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『英文書』Essential Medical Statistics 2E(ISBN=9780865428713)

書城自編碼: 2065797
分類: 簡體書→原版英文書→医学 Medicine
作者: Betty
國際書號(ISBN): 9780865428713
出版社:
出版日期: 2003-07-01
版次: 1 印次: 1
頁數/字數: 501/
書度/開本: 16开 釘裝: 平装

售價:NT$ 4026

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內容簡介:
Blackwell Publishing is delighted to announce that this book
has been Highly Commended in the 2004 BMA Medical Book Competition.
Here is the judges'' summary of this book:
"This is a technical book on a technical subject but presented in a
delightful way. There are many books on statistics for doctors but
there are few that are excellent and this is certainly one of them.
Statistics is not an easy subject to teach or write about. The
authors have succeeded in producing a book that is as good as it
can get. For the keen student who does not want a book for
mathematicians, this is an excellent first book on medical
statistics."
Essential Medical Statistics is a classic amongst medical
statisticians. An introductory textbook, it presents statistics
with a clarity and logic that demystifies the subject, while
providing a comprehensive coverage of advanced as well as basic
methods.
The second edition of Essential Medical Statistics has been
comprehensively revised and updated to include modern statistical
methods and modern approaches to statistical analysis, while
retaining the approachable and non-mathematical style of the first
edition. The book now includes full coverage of the most commonly
used regression models, multiple linear regression, logistic
regression, Poisson regression and Cox regression, as well as a
chapter on general issues in regression modelling. In addition, new
chapters introduce more advanced topics such as meta-analysis,
likelihood, bootstrapping and robust standard errors, and analysis
of clustered data.
Aimed at students of medical statistics, medical researchers,
public health practitioners and practising clinicians using
statistics in their daily work, the book is designed as both a
teaching and a reference text. The format of the book is clear with
highlighted formulae and worked examples, so that all concepts are
presented in a simple, practical and easy-to-understand way. The
second edition enhances the emphasis on choice of appropriate
methods with new chapters on strategies for analysis and measures
of association and impact.
Essential Medical Statistics is supported by a web site at
www.blackwellpublishing.comessentialmedstats. This useful
online resource provides statistical datasets to download, as well
as sample chapters and future updates.
目錄
Part A. Basics.
1. Using this book.
2. Defining the data.
3. Displaying the data.
Part B. Analysis of numerical outcomes.
4. Means, Standard Deviations and Standard Errors.
5. The Normal Distribution.
6. Confidence Interval for a Mean.
7. Comparison of two means: confidence intervals, hypothesis
tests and P-values.
8. Using P-values and confidence intervals to interpret the
results of statistical analyses.
9. Comparison of means from several groups: analysis of
variance.
10. Linear Regression and Correlation.
11. Multiple Regression.
12. Goodness of fit and regression diagnostics.
13. Transformations.
Part C. Analysis of binary outcomes.
14. Probability, risks and odds of disease.
15. Proportions and the binomial distribution.
16. Comparing two proportions.
17. Chi-squared tests for 2 × 2 and larger contingency
tables.
18. Controlling for confounding: stratification.
19. Logistic regression: comparing two or more exposure
groups.
20. Logisitic regression: controlling for confounding and other
extensions.
21. Matched studies.
Part D. Longitudinal studies: Analysis of rates and survival
times.
22. Longitudinal studies, rates and the Poisson
distribution.
23. Comparing rates.
24. Poisson regression.
25. Standardisation.
26. Survival analysis: displaying and comparing survival
patterns.
27. Regression analysis of survival data.
Part E. Statistical modelling.
28. Likelihood.
29. Regression modelling.
30. Relaxing model assumptions.
31. Analysis of clustered data.
32. Systematic reviews and meta-analysis.
33. Bayesian statistics.
Part F. Study design, analysis and interpretation.
34. Linking analysis to study design: summary of methods.
35. Calculation of Required Sample Size.
36. Measurement error: assessment and implications.
37. Measures of association and impact.
38. Strategies for analysis.
APPENDIX: Statistical Tables.
Bibliography

 

 

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