Jump to ContentJump to Main Navigation
NeuroepidemiologyFrom principles to practice$
Users without a subscription are not able to see the full content.

Lorene M. Nelson, Caroline M. Tanner, Stephen Van Den Eeden, and Valarie M. McGuire

Print publication date: 2004

Print ISBN-13: 9780195133790

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780195133790.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2017. 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: 18 January 2018

Measurement and Analysis

Measurement and Analysis

Chapter:
(p.55) 3 Measurement and Analysis
Source:
Neuroepidemiology
Author(s):

Lorene M. Nelson

Caroline M. Tanner

Stephen K. Van Den Eeden

Valerie M. McGuire

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195133790.003.03

This chapter focuses on measurement of exposures, risk factors, prognostic factors, in addition to statistical analysis methods for assessing the association of those factors with disease outcomes. Separate sections of the chapter are devoted to disease severity measures, general health and quality of life measures, and functional status measures, as well as methods of data collection (medical record abstraction, questionnaires, biological measures). The middle section of the chapter addresses issues regarding measurement error, including types of measurement error (random error, systematic error), misclassification (differential, nondifferential), and the effects of these errors on study validity. Methods for assessing and improving data reliability and validity are discussed. The last section of the chapter provides a concise but informative overview of statistical techniques for analyzing epidemiologic data.

Keywords:   methods, questionnaires, quality of life measures, functional status measures, outcome measures, risk factors, prognostic factors, statistical analysis, statistical power, sample size estimation

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 .