Interpretation and uses of medical statistics
著者
書誌事項
Interpretation and uses of medical statistics
Blackwell Science, c2000
5th ed
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注記
Previous editions entered under: Bourke, Geoffrey J
Includes bibliographical references (p. 554-557) and index
内容説明・目次
内容説明
In 1969 the first edition of this book introduced the concepts of statistics and their medical application to readers with no formal training in this area. While retaining this basic aim, the authors have expanded the coverage in each subsequent edition to keep pace with the increasing use and sophistication of statistics in medical research. This fifth edition has undergone major restructuring, with some sections completely rewritten; it is now more logically organized and more user friendly (with the addition of 'summary boxes' throughout the text). It incorporates new statistical techniques and approaches that have made an appearance since the last edition. In addition, some chapters or chapter headings are specifically marked to signify material that is more difficult than the material in which it is embedded - such sections or chapters can be omitted at first reading.
Several new chapters have been added . "Associations: Chance, Confounded and Causal?" explains without any formulae the concepts underlying confounding, confidence intervals and p values, and the interpretation of associations observed in research investigations. Another new chapter considers sample size calculations in some detail and provides, in addition to the relevant formulae, useful tables that should give the researcher an indication of the order of magnitude of the number of subjects he or she might require in different situations.
目次
- 1. Describing Data - A Single Variable. 2. Probability, Populations and Samples. 3. Associations: Chance, Confounded or Causal?. 4. Confidence intervals: General principles
- Proportions, Means, Medians, Counts and Rates. 5. Hypothesis Testing: General Principles and One-sample Tests for Means, Proportions, Counts and Rates. 6. Epidemiological and Clinical Research Methods. 7. Confidence intervals and Hypothesis Tests: Two-group Comparisons. 8. Sample Size Determination. 9. Comparison of More than Two Independent Groups. 10. Associations between Two Quantitative Variables: Regression and Correlation. 11. Multivariate Analysis and the Control of Confounding!. 12. Bias and Measurement Error. Bibliography. Appendix A Computational Shortcuts. Appendix B Statistical Tables. Appendix C A "Cookbook" of Hypothesis Tests and Confidence Intervals. Appendix D World Medical Association Declaration of Helsinki
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