Making Sense of Data: A Self-Instruction Manual on the Interpretation of Epidemiological Data

Abramson, J. H., Abramson, Z. H.

ISBN 10: 0195145259 / ISBN 13: 9780195145250

Published by Oxford University Press, 2001

About this Item

Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 000519826U

Bibliographic Details

Title: Making Sense of Data: A Self-Instruction ...

Publisher: Oxford University Press

Publication Date: 2001

Binding: Paperback

Condition: Good

Edition: 3rd Edition.

About this title

Synopsis:

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.

About the Author:

Z. H. Abramson is at both at Hebrew University.