Jump to ContentJump to Main Navigation
Making Sense of DataA Self-Instruction Manual on the Interpretation of Epidemiological Data$
Users without a subscription are not able to see the full content.

J. H. Abramson and Z. H. Abramson

Print publication date: 2001

Print ISBN-13: 9780195145250

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780195145250.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a monograph in OSO for personal use (for details see http://www.oxfordscholarship.com/page/privacy-policy).date: 17 August 2018

Basic Concepts and Procedures

Basic Concepts and Procedures

Chapter:
(p.3) Section A Basic Concepts and Procedures
Source:
Making Sense of Data
Author(s):

J. H. Abramson

Z. H. Abramson

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195145250.003.0001

The exercises in this section have three main purposes. First, they introduce a basic approach to the appraisal of data presented in a table or diagram—the basic questions to be asked, and the explanations to be considered and tested, including the possible roles of artifacts, chance, and confounding and modifying factors. Also methods of testing causal explanations are considered. Second, fundamental terms and concepts are introduced, such as rates of different kinds, risks, refinement of data, dependent and independent variables, absolute and relative differences, bias, inductive and deductive reasoning, elaboration of associations, causal processes, and epidemiological models. And third, attention is directed to the uses that may be made of epidemiological data, by clinicians, practitioners of public health and community medicine, and researchers. A self-test concludes the section.

Keywords:   epidemiological methods, interpretation, data interpretation, artifactual associations, confounding, modifying factors, causal associations, epidemiological terms, epidemiological models, practical applications

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .