Making sense of data : a self-instruction manual on the interpretation of epidemiological data
著者
書誌事項
Making sense of data : a self-instruction manual on the interpretation of epidemiological data
Oxford University Press, 2001
3rd ed
- : cloth
- : pbk
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注記
Companion v. to: Survey methods in community medicine / J.H. Abramson, Z.H. Abramson. 5th ed. 1999
Includes bibliographical references (p. 351-362) and index
内容説明・目次
- 巻冊次
-
: cloth ISBN 9780195145243
内容説明
This self-instructional manual on the interpretation and use of epidemiologic data deals with the basic concepts and skills needed for the appraisal of published reports or one's own findings. Applications in clinical medicine, public health, community medicine, and research are all taken into consideration. Making Sense of Data is designed as a workbook of short exercises and instructional self-tests that introduce fundamental approaches and procedures in data interpretation and develop competency in working with epidemiologic tools. Basic concepts are presented in the first section, which also demonstrates the step-by-step assessment of data. The next section discusses rates and other simple measures, and the third shows how to judge their accuracy. Section IV and V deal with more complex issues of associations between variables and the appraisal of cause-effect relationships. Section VI deals with meta-analysis (the critical review and integration of the findings from separate studies) and section VII with the questions to be asked before deciding to apply study results in practice. Numerous changes have been made in this edition, including the addition of a section on the practical application of epidemiological findings, discussions of new topics (Cox proportional hazards regression, qualitative studies, ROC curves), and fresh examples.
- 巻冊次
-
: pbk ISBN 9780195145250
内容説明
This is a self-instructional manual on the interpretation and use of epidemiologic data that deals with the basic concepts and skills needed for appraising published reports or study findings. Applications in clinical medicine, public health, community medicine, and research are presented. The numerous changes in this edition include the addition of a section on questions to be asked before deciding to apply study results in practice, discussions of new topics (Cox
proportional hazards regression, qualitative studies, ROC curves), and fresh examples.
目次
- INTRODUCTION
- A. BASIC CONCEPTS AND PROCEDURES
- B. RATES AND OTHER MEASURES
- C. HOW GOOD ARE THE MEASURES?
- D. MAKING SENSE OF ASSOCIATIONS
- E. CAUSES AND EFFECTS
- F. META-ANALYSIS: PUTTING IT ALL TOGETHER
- G. PUTTING STUDY FINDINGS TO USE
- REFERENCES
- INDEX
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